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Energy and Environment Directorate

Jason Hou

Jason Hou

(509) 375-3749

Biography

Dr. Z. Jason Hou is a Chief Data Scientist and Team Lead of the Earth System Data Science team at PNNL. He is a pioneer and leader in developing and applying advanced artificial intelligence (AI), machine learning (ML), uncertainty quantification (UQ), and extreme event analysis approaches. He has blended his data sciences expertise with an educational background in science and engineering to uniquely act as both a data scientist and a domain expert. As such, he and his team have developed new AI, ML, UQ, and big data analytics approaches and methods that have significantly advanced fields of research in Earth Systems, Energy Systems, and Environmental Systems. These cross-cutting advances have been broadly applied to environmental management and remediation, climate extremes, land-atmosphere modeling, smart grids, petroleum exploration, carbon sequestration, renewable energy forecasting, and energy storage applications. Dr. Hou has more than 100 peer-reviewed publications and 20+ technical reports, served in editorial board or as reviewer for 40 high-impact journals, served as a founding member of the AGU Hydrologic Uncertainty Committee, convened technical sessions in many international conferences and workshops, and has given multiple invited/keynote talks to the climate and grid AI/ML communities.

Research Interests

  • Machine Learning
  • Data Mining
  • Uncertainty Quantification
  • Extreme Events
  • Complex Systems (earth, energy, and environment)

Education and Credentials

  • Ph.D., Geo-Statistics, University of California, Berkeley
  • M.A., Statistics, University of California, Berkeley
  • M.S., Environmental Engineering, University of California, Berkeley
  • M.S., Atmospheric Sciences, Peking University
  • B.S., Geophysics, Peking University

Affiliations and Professional Service

  • Review panel: U.S. Department of Energy; National Science Foundation; U.S. Army ERDP
  • Editorial / peer reviewer: Advances in Water Resources; Advances in Mechanical Engineering; Applied Energy; Atmosphere-Ocean; Energies; Entropy; Environmental Earth Sciences; Environmental Modeling and Software; Greenhouse Gases: Science and Technology; Hydrology and Earth System Sciences; IEEE PES Letters; IEEE PES Transactions on Smart Grid; International Journal of Geosciences; J. of Applied Meteorology and Climatology; J. of Applied Geophysics; J. of Environ. and Eng. Geophysics; J. of Hydrometeorology; J. of Applied Meteorology and Climatology; J. of Environmental and Engineering Geophysics; J. of Hydrologic Engineering; J. of Petroleum and Gas Engineering; J. of Atmospheric and Oceanic Technology; J. of Advances in Modeling Earth Systems; J. of Hydrology; J. of Geophysical Research; Mathematical Geoscience; SPE Journal; Weather, Climate and Society; Water Resources Research; Weather and Forecasting.
  • Professional societies: American Statistician Association (ASA), American Mathematical Society (AMS), American Geophysical Union (AGU), American Meteorological Society (AMS), Environmental and Engineering Geophysical Society (EEGS), Society of Exploration Geophysicists (SEG), Society of Industrial and Applied Mathematics (SIAM), Institute of Electrical and Electronics Engineers (IEEE), IGERT SUNY
  • Member of American Geophysical Union Hydrologic Uncertainty Committee and chaired various conference sessions.

PNNL Patents

PNNL Publications

2024

  • Bracken C.W., N. Voisin, C.D. Burleyson, A.M. Campbell, Z. Hou, and D.P. Broman. 2024. "Standardized Benchmark of Historical Compound Wind and Solar Energy Droughts Across the Continental United States." Renewable Energy 220. PNNL-SA-186419. doi:10.1016/j.renene.2023.119550
  • Fan X., Y. Chen, D. Wang, C. Qin, Y. Liu, K. Guddanti, and Y. Li, et al. 2024. 5G Energy FRAME Report on 5G for Grid Use Case: Year 3 Final Report. PNNL-36588. Richland, WA: Pacific Northwest National Laboratory. 5G Energy FRAME Report on 5G for Grid Use Case: Year 3 Final Report
  • Hou Z., N.D. Ward, A.N. Myers-Pigg, X. Lin, S.R. Waichler, C.A. Wiese Moore, and M.J. Norwood, et al. 2024. "Quantifying Drivers of Methane Hydrobiogeochemistry in a Tidal River Floodplain System." Water 16, no. 1:Art. No. 171. PNNL-SA-158802. doi:10.3390/w16010171
  • Lin X., J. Fan, Y. Zhang, and Z. Hou. 2024. "Machine Learning Analysis of Impact of Western US Fires on Central US Hailstorms." Advances in Atmospheric Sciences 41, no. 7:1450-1462. PNNL-SA-201265. doi:10.1007/s00376-024-3198-7
  • Qin C., D. Wang, K. Guddanti, X. Fan, and Z. Hou. 2024. "Synchrophasor Data Anomaly Detection on Grid Edge by 5G Communication and Adjacent Compute." In IEEE/PES Transmission and Distribution Conference and Exposition (T&D 2024), May 6-9, 2024, Anaheim, CA, 1-5. Piscataway, New Jersey:IEEE. PNNL-SA-189162. doi:10.1109/TD47997.2024.10556028
  • Qin C., K. Guddanti, B. Vyakaranam, T.B. Nguyen, K. Mahapatra, Q.H. Nguyen, and Z. Hou, et al. 2024. "Critical Zone Identification Framework for Bulk Electric System Security Assessment." International Journal of Electrical Power & Energy Systems 115, no. Part B:Art. No. 109542. PNNL-SA-183659. doi:10.1016/j.ijepes.2023.109542
  • Shi M., L. Li, X. Lin, Y. Fang, and Z. Hou. 2024. An ML-based terrestrial data fusion and augmentation framework to enable advanced understanding of the terrestrial carbon and water interactions. PNNL-36677. Richland, WA: Pacific Northwest National Laboratory. An ML-based terrestrial data fusion and augmentation framework to enable advanced understanding of the terrestrial carbon and water interactions

2023

  • Fan X., D. Wang, C. Qin, K. Guddanti, V. Tiruchirappalli Narayana Kumar, Y. Chen, and J.P. Ogle, et al. 2023. 5G Energy FRAME: The Design and Implementation of Data, Model, and Use Case - Year 2 Report. PNNL-34658. Richland, WA: Pacific Northwest National Laboratory. 5G Energy FRAME: The Design and Implementation of Data, Model, and Use Case - Year 2 Report
  • Guddanti K., B. Vyakaranam, K. Mahapatra, Z. Hou, P.V. Etingov, N.A. Samaan, and T.B. Nguyen, et al. 2023. "Dynamic Security Analysis Framework for Future Large Grids with High Renewable Penetrations." IEEE Access 11. PNNL-SA-174886. doi:10.1109/ACCESS.2023.3238316
  • Lin X., and Z. Hou. 2023. An Inventory of AI-ready Benchmark Data for US Fires, Heatwaves, and Droughts. PNNL-34891. Richland, WA: Pacific Northwest National Laboratory. An Inventory of AI-ready Benchmark Data for US Fires, Heatwaves, and Droughts
  • Lin X., J. Fan, Z. Hou, and J. Wang. 2023. "Machine Learning of Key Variables Impacting Extreme Precipitation in Various Regions of the Contiguous United States." Journal of Advances in Modeling Earth Systems 15, no. 3:Art. No. e2022MS003334. PNNL-SA-183247. doi:10.1029/2022MS003334
  • Song X., H. Ren, Z. Hou, X. Lin, M. Karanovic, M.J. Tonkin, and V.L. Freedman, et al. 2023. "Predicting Future Well Performance for Environmental Remediation Design using Deep Learning." Journal of Hydrology 617, no. Part C:Art. No. 129110. PNNL-SA-178074. doi:10.1016/j.jhydrol.2023.129110
  • Yan H., N. Sun, H.A. Eldardiry, T.B. Thurber, P. Reed, K. Malek, and R. Gupta, et al. 2023. "Large Ensemble Diagnostic Evaluation of Hydrologic Parameter Uncertainty in the Community Land Model Version 5 (CLM5)." Journal of Advances in Modeling Earth Systems 15, no. 5:Art. No. e2022MS003312. PNNL-SA-175184. doi:10.1029/2022MS003312

2022

  • Bao J., Y. Chen, Y. Fang, X. Song, W.A. Perkins, Z. Duan, and P. Shuai, et al. 2022. "Modeling framework for evaluating the impacts of hydrodynamic pressure on hydrologic exchange fluxes and residence time for a large-scale river section over a long-term period." Environmental Modelling & Software 148. PNNL-SA-152147. doi:10.1016/j.envsoft.2021.105277
  • Chen Y., J. Bao, Y. Fang, W.A. Perkins, H. Ren, X. Song, and Z. Duan, et al. 2022. "Modeling of streamflow in a 30 km long reach spanning 5 years using OpenFOAM 5.x." Geoscientific Model Development 15, no. 7:2917-2947. PNNL-SA-151719. doi:10.5194/gmd-15-2917-2022
  • Fu T., H. Zhou, X. Ma, Z. Hou, and D. Wu. 2022. "Predicting Peak Day and Peak Hour of Electricity Demand with Ensemble Machine Learning." Frontiers in Energy Research 10. PNNL-SA-170421. doi:10.3389/fenrg.2022.944804
  • Karagiannis G., Z. Hou, M. Huang, and G. Lin. 2022. "Inverse modeling of hydrologic parameters in CLM4 via generalized polynomial chaos in the Bayesian framework." Computation 10, no. 5:72. PNNL-SA-175497. doi:10.3390/computation10050072
  • Kaul C.M., Z. Hou, H. Zhou, R.K. Rai, and L.K. Berg. 2022. "Sensitivity Analysis of Wind and Turbulence Predictions with Mesoscale-Coupled Large Eddy Simulations Using Ensemble Machine Learning." Journal of Geophysical Research: Atmospheres 127, no. 16:Art. No. e2022JD037150. PNNL-SA-160740. doi:10.1029/2022JD037150
  • Nguyen Q.H., X. Ke, N.A. Samaan, J.T. Holzer, M.A. Elizondo, H. Zhou, and Z. Hou, et al. 2022. "Transmission-distribution long-term volt-var planning considering reactive power support capability of distributed PV." International Journal of Electrical Power & Energy Systems 138. PNNL-SA-163369. doi:10.1016/j.ijepes.2022.107955
  • Sun N., H. Yan, M.S. Wigmosta, A. Coleman, L. Leung, and Z. Hou. 2022. "Datasets for characterizing extreme events relevant to hydrologic design over the conterminous United States." Scientific Data 9. PNNL-SA-163804. doi:10.1038/s41597-022-01221-9
  • Wu B., J. Lu, D. Liu, H. Zhou, Z. Hou, Z. Deng, and J. Xiao. 2022. Machine Learning Software for Cylindrical Battery Design and Performance Prediction. PNNL-32743. Richland, WA: Pacific Northwest National Laboratory. Machine Learning Software for Cylindrical Battery Design and Performance Prediction
  • Wu D., X. Ma, T. Fu, Z. Hou, P. Rehm, and N. Lu. 2022. "Design of a Battery Energy Management System for Capacity Charge Reduction." IEEE Open Access Journal of Power and Energy 9. PNNL-SA-172534. doi:10.1109/OAJPE.2022.3196690

2021

  • Hou Z., H. Ren, C.J. Murray, X. Song, Y. Fang, E.V. Arntzen, and X. Chen, et al. 2021. "A Novel Construct for Scaling Groundwater-River Interactions Based on Machine-Guided Hydromorphic Classification." Environmental Research Letters 16, no. 10:104016. PNNL-SA-151112. doi:10.1088/1748-9326/ac24ce
  • Ren H., X. Song, Y. Fang, Z. Hou, and T.D. Scheibe. 2021. "Machine Learning Analysis of Hydrologic Exchange Flows and Transit Time Distributions in a Large Regulated River." Frontiers in Artificial Intelligence 4. PNNL-SA-158855. doi:10.3389/frai.2021.648071
  • Ren H., Z. Hou, X. Ke, Q. Huang, and Y.V. Makarov. 2021. "Analysis of Weather and Climate Extremes Impact on Power System Outage." In IEEE Power & Energy Society General Meeting (PESGM 2021), July 26-29, 2021, Washington DC, 01-05. Piscataway, New Jersey:IEEE. PNNL-SA-149099. doi:10.1109/PESGM46819.2021.9637938
  • Riihimaki L., X. Li, Z. Hou, and L.K. Berg. 2021. "Improving Prediction of Surface Solar Irradiance Variability by Integrating Observed Cloud Characteristics and Machine Learning." Solar Energy 225. PNNL-SA-164671. doi:10.1016/j.solener.2021.07.047
  • Song X., Y. Fang, J. Bao, H. Ren, Z. Duan, W.A. Perkins, and H. Zhou, et al. 2021. "Scale-dependent spatial variabilities of hydrological exchange flows and transit time in a large regulated river." Journal of Hydrology 598. PNNL-SA-152146. doi:10.1016/j.jhydrol.2021.126283
  • Sun X., X. Li, S. Datta, X. Ke, Q. Huang, R. Huang, and Z. Hou. 2021. "Smart sampling for reduced and representative power system scenario selection." IEEE Open Access Journal of Power and Energy 8. PNNL-SA-159391. doi:10.1109/OAJPE.2021.3093278
  • Vyakaranam B., K. Mahapatra, X. Li, H. Wang, P.V. Etingov, Z. Hou, and Q.H. Nguyen, et al. 2021. "Novel Data-Driven Distributed Learning Framework for Solving AC Power Flow for Large Interconnected Systems." IEEE Open Access Journal of Power and Energy 8. PNNL-SA-158500. doi:10.1109/OAJPE.2021.3092264
  • Zang X., T. Yin, Z. Hou, R.P. Mueller, Z. Deng, and P. Jacobson. 2021. "Deep Learning for Automated Detection and Identification of Migrating American eel Anguilla rostrata from Imaging Sonar Data." Remote Sensing 13, no. 14:2671. PNNL-SA-149057. doi:10.3390/rs13142671
  • Zhou H., Z. Hou, Y. Liu, and P.V. Etingov. 2021. "Weather and Random Forest-based Load Profiling Approximation Models and its Transferability across Climate Zones." In Proceedings of the 54th Hawaii International Conference on System Sciences (HICSS 2021), January 4-8, 2021, Virtual, Online, 2020-January, 3321-3328. Los Alamitos, California:IEEE Computer Society. PNNL-SA-154506. doi:10.24251/HICSS.2021.403

2020

  • Fang Y., X. Song, H. Ren, W.A. Perkins, P. Shuai, M.C. Richmond, and Z. Hou, et al. 2020. "High-performance simulation of dynamic hydrologic exchange and implications for surrogate flow and reactive transport modeling in a large river corridor." Frontiers in Water 2. PNNL-SA-153319. doi:10.3389/frwa.2020.564211
  • Jeong J., J. Fan, C.R. Homeyer, and Z. Hou. 2020. "Understanding Hailstone Temporal Variability and Contributing Factors over the U.S. Southern Great Plains." Journal of Climate 33, no. 10:3947-3966. PNNL-SA-151306. doi:10.1175/JCLI-D-19-0606.1
  • Ren H., Z. Hou, B. Vyakaranam, H. Wang, and P.V. Etingov. 2020. "Power System Event Classification and Localization Using a Convolutional Neural Network." Frontiers in Energy Research 8. PNNL-SA-156351. doi:10.3389/fenrg.2020.607826
  • Ren H., Z. Hou, H. Wang, and P.V. Etingov. 2020. "Synchrophasor Measurements-based Events Detection Using Deep Learning." In Proceedings of the 11th ACM International Conference on Future Energy Systems (e-Energy 2020), June 22-26, 2020, 410-412. New York, New York:Association for Computing Machinery. PNNL-SA-144475. doi:10.1145/3396851.3403513
  • Ren H., Z. Hou, Z. Duan, X. Song, W.A. Perkins, M.C. Richmond, and E.V. Arntzen, et al. 2020. "Spatial Mapping of Riverbed Grain-size Distribution Using Machine Learning." Frontiers in Water 2. PNNL-SA-151819. doi:10.3389/frwa.2020.551627
  • Yabusaki S.B., A.N. Myers-Pigg, N.D. Ward, S.R. Waichler, A. Sengupta, Z. Hou, and X. Chen, et al. 2020. "Floodplain inundation and salinization from a recently restored first-order tidal stream." Water Resources Research 56, no. 7:Article No. e2019WR026850. PNNL-SA-149723. doi:10.1029/2019WR026850
  • Yan H., N. Sun, M.S. Wigmosta, L. Leung, Z. Hou, A. Coleman, and R.L. Skaggs. 2020. "Evaluating next-generation intensity-duration-frequency curves for design flood estimates in the snow-dominated western United States." Hydrological Processes 34, no. 5:1255-1268. PNNL-SA-143219. doi:10.1002/hyp.13673
  • Yin T., X. Zang, Z. Hou, P. Jacobson, R.P. Mueller, and Z. Deng. 2020. "Bridging the Gap between Laboratory and Field Experiments in American Eel Detection Using Transfer Learning and Convolutional Neural Network." In Proceedings of the 53rd Hawaii International Conference on System Sciences (HICSS-53) January 6-10, 2020, Maui, HI, 932-939. Honolulu, Hawaii:University of Hawaii. PNNL-SA-144397. doi:10.24251/HICSS.2020.116

2019

  • Berg L.K., Y. Liu, B. Yang, Y. Qian, J. Olson, M.S. Pekour, and P. Ma, et al. 2019. "Sensitivity of Turbine-Height Wind Speeds to Parameters in Planetary Boundary-Layer Parametrization Used in the Weather Research and Forecasting Model: Extension to Wintertime Conditions." Boundary-Layer Meteorology 170, no. 3:507-518. PNNL-SA-132420. doi:10.1007/s10546-018-0406-y
  • Freedman V.L., M.P. Connelly, M.L. Rockhold, N. Hasan, S. Mehta, W.J. Mcmahon, and M.W. Kozak, et al. 2019. "A Multiple Lines of Evidence Approach for Identifying Geologic Heterogeneities in Conceptual Site Models for Performance Assessments." Science of the Total Environment 692. PNNL-SA-142412. doi:10.1016/j.scitotenv.2019.07.213
  • Fu T., X. Lin, Z. Hou, and Z. Deng. 2019. "Integrating Hybrid-Clustering and Localized Regression for Time Synchronization of a Hierarchical Underwater Acoustic Sensor Array." In OCEANS 2019 MTS/IEEE, October 27-31, 2019, Seattle, WA. Piscataway, New Jersey:IEEE. PNNL-SA-147446. doi:10.23919/OCEANS40490.2019.8962752
  • Hou Z., H. Ren, N. Sun, M.S. Wigmosta, Y. Liu, L. Leung, and H. Yan, et al. 2019. "Incorporating Climate Non-stationarity and Snowmelt Processes in Intensity-Duration-Frequency Analyses with Case Studies in Mountainous Areas." Journal of Hydrometeorology 20, no. 12:2331-2346. PNNL-SA-132327. doi:10.1175/JHM-D-19-0055.1
  • Hou Z., T.D. Scheibe, C.J. Murray, W.A. Perkins, E.V. Arntzen, H. Ren, and R.D. Mackley, et al. 2019. "Identification and mapping of riverbed sediment facies in the Columbia River through integration of field observations and numerical simulations." Hydrological Processes 33, no. 8:1245-1259. PNNL-SA-123667. doi:10.1002/hyp.13396
  • Li X., X. Fan, H. Ren, Z. Hou, Q. Huang, S. Wang, and O. Ciniglio. 2019. "Data-driven Feature Analysis in Control Design for Series-Compensated Transmission Systems." IEEE Transactions on Power Systems 34, no. 4:3297-3299. PNNL-SA-139624. doi:10.1109/TPWRS.2019.2912711
  • Lin X., Z. Hou, H. Ren, and F. Pan. 2019. "Approximate Mixed-Integer Programming Solution with Machine Learning Technique and Linear Programming Relaxation." In The 3rd International Conference on Smart Grid and Smart Cities, 101-107. Berkeley, California:IEEE. PNNL-SA-141126. doi:10.1109/ICSGSC.2019.00-11
  • Liu Y., Z. Hou, P.V. Etingov, and H. Zhou. 2019. "Update of Residential Load Profile for WECC Load Composition Model Using Cross-Correlation Method." In Proceedings of the IEEE Power & Energy Society General Meeting (PESGM 2019), August 4-8, 2019, Atlanta, GA. Piscataway, New Jersey:IEEE. PNNL-SA-139433. doi:10.1109/PESGM40551.2019.8973557
  • Ren H., Z. Hou, M.S. Wigmosta, Y. Liu, and L. Leung. 2019. "Impacts of Spatial Heterogeneity and Temporal Non-Stationarity on Intensity-Duration-Frequency Estimates - A Case Study in a Mountainous California-Nevada Watershed." Water 11, no. 6:Article No. 1296. PNNL-SA-141612. doi:10.3390/w11061296
  • Sun N., H. Yan, M.S. Wigmosta, L. Leung, R. Skaggs, and Z. Hou. 2019. "Regional Snow Parameters Estimation for Large-Domain Hydrological Applications in the Western United States." Journal of Geophysical Research: Atmospheres 124, no. 10:5296-5313. PNNL-SA-134653. doi:10.1029/2018JD030140
  • Yan H., N. Sun, M.S. Wigmosta, R. Skaggs, L. Leung, A. Coleman, and Z. Hou. 2019. "Observed Spatiotemporal Changes in the Mechanisms of Extreme Water Available for Runoff in the Western United States." Geophysical Research Letters 46, no. 2:767-775. PNNL-SA-138215. doi:10.1029/2018GL080260
  • Yan H., N. Sun, M.S. Wigmosta, R. Skaggs, Z. Hou, and L. Leung. 2019. "Next-Generation Intensity-Duration-Frequency Curves to Reduce Errors in Peak Flood Design." Journal of Hydrologic Engineering 24, no. 7:04019020. PNNL-SA-135099. doi:10.1061/(ASCE)HE.1943-5584.0001799
  • Yang B., L.K. Berg, Y. Qian, C. Wang, Z. Hou, Y. Liu, and H. Shin, et al. 2019. "Parametric and structural sensitivities of turbine-height wind speeds in the boundary-layer parameterizations in the Weather Research and Forecasting model." Journal of Geophysical Research: Atmospheres 124, no. 12:5951-5969. PNNL-SA-142837. doi:10.1029/2018JD029691
  • Zhou H., Z. Hou, P.V. Etingov, and Y. Liu. 2019. "Machine Learning of Commercial and Residential Load Components in Northwestern United States." In The ACM e-Energy 2019 Conference, 385-387. New York, New York:ACM. PNNL-SA-142105. doi:10.1145/3307772.3330160
  • Zhou H., Z. Hou, P.V. Etingov, and Y. Liu. 2019. "Machine Learning-Based Investigation of the Associations between Residential Power Consumption and Weather Conditions." In The 3rd International Conference on Smart Grid and Smart Cities, June 25-28, 2019, Berkeley, CA, 85-91. Piscataway, New Jersey:IEEE. PNNL-SA-139398. doi:10.1109/ICSGSC.2019.00-13
  • Zhou H., Z. Hou, P.V. Etingov, and Y. Liu. 2019. "Machine-Learning-Based Investigation of the Associations between Residential Power Consumption and Weather Conditions." In The 3rd International Conference on Smart Grid and Smart Cities, (ICSGSC 2019), June 25-28, 2019, Berkeley, CA, 85-91. Piscataway, New Jersey:IEEE. PNNL-SA-144595. doi:10.1109/ICSGSC.2019.00-13
  • Zhou H., Z. Hou, P.V. Etingov, and Y. Liu. 2019. "Machine-Learning-Based Investigation of the Associations between Residential Power Consumption and Weather Conditions." In The 3rd International Conference on Smart Grid and Smart Cities, 2019. PNNL-SA-144595.

2018

  • Bao J., T. Zhou, M. Huang, Z. Hou, W.A. Perkins, S.F. Harding, and P. Titzler, et al. 2018. "Modulating factors of hydrologic exchanges in a large-scale river reach: Insights from three-dimensional computational fluid dynamics simulations." Hydrological Processes 32, no. 23:3446-3463. PNNL-SA-123673. doi:10.1002/hyp.13266
  • Bao J., Z. Hou, J. Ray, M. Huang, L.P. Swiler, and H. Ren. 2018. "Soil moisture estimation using tomographic ground penetrating radar in a MCMC-Bayesian framework." Stochastic Environmental Research and Risk Assessment 32, no. 8:2213-2231. PNNL-SA-116707. doi:10.1007/s00477-018-1571-8
  • Berscheid A.P., Y.V. Makarov, Z. Hou, R. Diao, Y. Zhang, N.A. Samaan, and Y. Yuan, et al. 2018. "An Open-Source Tool for Automated Power Grid Stress Level Prediction at Balancing Authorities." In IEEE/PES Transmission and Distribution Conference and Exposition (T&D), April 16-19, 2018, Denver, CO. Piscataway, New Jersey:IEEE. PNNL-SA-128564. doi:10.1109/TDC.2018.8440330
  • Chen Y., J. Wu, H. Ren, and Z. Hou. 2018. Probabilistic Look-ahead Contingency Analysis Integrated with GE EMS Tool. PNNL-28130. Richland, WA: Pacific Northwest National Laboratory. Probabilistic Look-ahead Contingency Analysis Integrated with GE EMS Tool
  • Etingov P.V., F.K. Tuffner, J.D. Follum, X. Li, H. Wang, R. Diao, and Y. Zhang, et al. 2018. "Open-Source Suite for Advanced Synchrophasor Analysis." In 2018 IEEE PES Transmission and Distribution Conference & Exposition. Piscataway, New Jersey:IEEE. PNNL-SA-128061. doi:10.1109/TDC.2018.8440500
  • Etingov P.V., L.E. Miller, Z. Hou, Y.V. Makarov, C. Loutan, and W. Katzenstein. 2018. "Improving BA Control Performance Through Advanced Regulation Requirements Prediction." In IEEE Power & Energy Society General Meeting (PESGM 2018), August 5-10, 2018, Portland, OR. Piscataway, New Jersey:IEEE. PNNL-SA-130443. doi:10.1109/PESGM.2018.8586317
  • Etingov P.V., L.E. Miller, Z. Hou, Y.V. Makarov, K. Pennock, P. Beaucage, and C. Loutan, et al. 2018. "Balancing Needs Assessment Using Advanced Probabilistic Forecasts." In 2018 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS). Piscataway, New Jersey:IEEE. PNNL-SA-131887. doi:10.1109/PMAPS.2018.8440392
  • Hou Z., J.D. Follum, P.V. Etingov, F.K. Tuffner, D. Kosterev, and G.H. Matthews. 2018. "Machine Learning of Factors Influencing Damping and Frequency of Dominant Inter-area Modes in the WECC Interconnect." In IEEE International Conference on Probabilistic Methods Applied to Power Systems (PMAPS 2018), June 24-28, 2018, Boise, ID, 1-6. Piscataway, New Jersey:IEEE. PNNL-SA-130439. doi:10.1109/PMAPS.2018.8440361
  • Qian Y., H. Wan, B. Yang, J. Golaz, B.E. Harrop, Z. Hou, and V.E. Larson, et al. 2018. "Parametric Sensitivity and Uncertainty Quantification in the Version 1 of E3SM Atmosphere Model Based on Short Perturbed Parameter Ensemble Simulations." Journal of Geophysical Research: Atmospheres 123, no. 23:13046-13073. PNNL-SA-138521. doi:10.1029/2018JD028927
  • Ren H., Z. Hou, and P.V. Etingov. 2018. "Online Anomaly Detection Using Machine Learning and HPC for Power System Synchrophasor Measurements." In 2018 IEEE International Conference on Probabilistic Methods Applied to Power Systems (PMAPS), June 24-28, 2018, Boise, ID, 1-5. Piscataway, New Jersey:IEEE. PNNL-SA-131920. doi:10.1109/PMAPS.2018.8440495
  • Yan H., N. Sun, M.S. Wigmosta, R. Skaggs, Z. Hou, and L. Leung. 2018. "Next-Generation Intensity-Duration-Frequency Curves for Hydrologic Design in Snow-Dominated Environments." Water Resources Research 54, no. 2:1093-1108. PNNL-SA-126849. doi:10.1002/2017WR021290
  • Zhou T., J. Bao, M. Huang, Z. Hou, E.V. Arntzen, X. Song, and S.F. Harding, et al. 2018. "Riverbed Hydrologic Exchange Dynamics in a Large Regulated River Reach." Water Resources Research 54, no. 4:2715-2730. PNNL-SA-123666. doi:10.1002/2017WR020508

2017

  • Chen Y., P.V. Etingov, H. Ren, T.B. Nguyen, and Z. Hou. 2017. "Smart Sampling and HPC-based Probabilistic Look-ahead Contingency Analysis Implementation and its Evaluation with Real-world Data." In IEEE Power & Energy Society General Meeting, July 16-20, 2017, Chicago, Illinois, 1-5. Piscataway, New Jersey:IEEE. PNNL-SA-122201. doi:10.1109/PESGM.2017.8274058
  • Etingov P.V., Z. Hou, H. Wang, H. Ren, D.V. Zarzhitsky, J.A. De Chalendar, and D. Kosterev, et al. 2017. "Cloud Based Analytical Framework for Synchrophasor Data Analysis." In CIGRE US National Committee 2017 Grid of the Future Symposium, October 22-25, 2017, Cleveland, OH. Paris:CIGRE. PNNL-SA-127703.
  • Hou Z., W.C. Nelson, J.C. Stegen, C.J. Murray, E.V. Arntzen, A.R. Crump, and D.W. Kennedy, et al. 2017. "Geochemical and Microbial Community Attributes in Relation to Hyporheic Zone Geological Facies." Scientific Reports 7. PNNL-SA-121286. doi:10.1038/s41598-017-12275-w
  • Nguyen B., Z. Hou, D.H. Bacon, G.V. Last, and M.D. White. 2017. "Analysis of a complex faulted CO2 reservoir using a three-dimensional hydro-geochemical-mechanical approach." Energy Procedia 114. PNNL-SA-121259. doi:10.1016/j.egypro.2017.03.1479
  • Nguyen B.N., Z. Hou, D.H. Bacon, and M.D. White. 2017. "A Multiscale Hydro-Geochemical-Mechanical Approach to Analyze Faulted CO2 Reservoirs." Greenhouse Gases: Science and Technology 7, no. 1:106-127. PNNL-SA-113763. doi:10.1002/ghg.1616
  • Ren H., J. Ray, Z. Hou, M. Huang, J. Bao, and L.P. Swiler. 2017. "Bayesian Inversion of Seismic and Electromagnetic Data for Marine Gas Reservoir Characterization Using Multi-chain Markov Chain Monte Carlo Sampling." Journal of Applied Geophysics 147. PNNL-SA-121160. doi:10.1016/j.jappgeo.2017.10.004
  • Yang B., Y. Qian, L.K. Berg, P. Ma, S. Wharton, V. Bulaevskaya, and H. Yan, et al. 2017. "Sensitivity of Turbine-Height Wind Speeds to Parameters in Planetary Boundary-Layer and Surface-Layer Schemes in the Weather Research and Forecasting Model." Boundary-Layer Meteorology 162, no. 1:117-142. PNNL-SA-112272. doi:10.1007/s10546-016-0185-2
  • Zhou T., M. Huang, J. Bao, Z. Hou, E.V. Arntzen, R.D. Mackley, and A.R. Crump, et al. 2017. "A New Approach to Quantify Shallow Water Hydrologic Exchanges in a Large Regulated River Reach." Water 9, no. 9:703. PNNL-SA-123562. doi:10.3390/w9090703

2016

  • Chen Y., P.V. Etingov, H. Ren, Z. Hou, M.J. Rice, and Y.V. Makarov. 2016. "A look-ahead probabilistic contingency analysis framework incorporating smart sampling techniques." In IEEE Power and Energy Society General Meeting (PESGM 2016), July 17-21, 2016, Boston, MA. Piscataway, New Jersey:IEEE. PNNL-SA-114459. doi:10.1109/PESGM.2016.7741449
  • Huang M., J. Ray, Z. Hou, H. Ren, Y. Liu, and L.P. Swiler. 2016. "On the Applicability of Surrogate-based Markov Chain Monte Carlo-Bayesian Inversion to the Community Land Model: Case Studies at Flux Tower Sites." Journal of Geophysical Research: Atmospheres 121, no. 13:7548-7563. PNNL-SA-113356. doi:10.1002/2015JD024339
  • Nguyen B.N., Z. Hou, D.H. Bacon, C.J. Murray, and M.D. White. 2016. "Three-Dimensional Modeling of the Reactive Transport of CO2 and Its Impact on Geomechanical Properties of Reservoir Rocks and Seals." International Journal of Greenhouse Gas Control 46. PNNL-SA-109235. doi:10.1016/j.ijggc.2016.01.004
  • Nguyen B.N., Z. Hou, G.V. Last, and D.H. Bacon. 2016. "Three-dimensional Analysis of a Faulted CO2 Reservoir Using an Eshelby-Mori-Tanaka Approach to Rock Elastic Properties and Fault Permeability." Journal of Rock Mechanics and Geotechnical Engineering 8, no. 6:828-845. PNNL-SA-117116. doi:10.1016/j.jrmge.2016.06.007
  • Nguyen B.N., Z. Hou, M.L. Stewart, C.J. Murray, and A. Bonneville. 2016. "Thermal Impact of CO2 Injection on Geomechanical Response at the FutureGEN 2.0 Site: A Three-dimensional Thermo-geomechanical Approach." International Journal of Greenhouse Gas Control 54, no. Part 1:29-49. PNWD-SA-10505. doi:10.1016/j.ijggc.2016.08.026
  • Qian Y., C.S. Jackson, F. Giorgi, B. Booth, Q. Duan, C. Forest, and D. Higdon, et al. 2016. "Uncertainty Quantification in Climate Modeling and Projection." Bulletin of the American Meteorological Society 97, no. 5:821-824. PNNL-SA-115173. doi:10.1175/BAMS-D-15-00297.1
  • Ren H., Z. Hou, M. Huang, J. Bao, Y. Sun, T.K. Tesfa, and L. Leung. 2016. "Classification of hydrological parameter sensitivity and evaluation of parameter transferability across 431 US MOPEX basins." Journal of Hydrology 536. PNNL-SA-105598. doi:10.1016/j.jhydrol.2016.02.042
  • Sun Y., Z. Hou, D. Meng, N.A. Samaan, Y.V. Makarov, and Z. Huang. 2016. "Quantifying and Reducing Uncertainty in Correlated Multi-Area Short-Term Load Forecasting." In IEEE Power and Energy Society General Meeting (PESGM 2016), July 17-21, 2016, Boston, MA. Piscataway, New Jersey:IEEE. PNNL-SA-114275. doi:10.1109/PESGM.2016.7741272

2015

  • Bao J., Z. Hou, M. Huang, and Y. Liu. 2015. "On Approaches to Analyze the Sensitivity of Simulated Hydrologic Fluxes to Model Parameters in the Community Land Model." Water 7, no. 12:6810-6826. PNNL-SA-115624. doi:10.3390/w7126662
  • Bao J., Z. Hou, Y. Fang, H. Ren, and G. Lin. 2015. "Uncertainty quantification for evaluating the impacts of fracture zone on pressure build-up and ground surface uplift during geological CO2 sequestration." Greenhouse Gases: Science and Technology 5, no. 3:254-267. PNNL-SA-101583. doi:10.1002/ghg.1456
  • Qian Y., H. Yan, Z. Hou, G. Johannesson, S.A. Klein, D. Lucas, and R. Neale, et al. 2015. "Parametric Sensitivity Analysis of Precipitation at Global and Local Scales in the Community Atmosphere Model CAM5." Journal of Advances in Modeling Earth Systems 7, no. 2:382-411. PNNL-SA-103688. doi:10.1002/2014MS000354
  • Ray J., Z. Hou, M. Huang, K. Sargsyan, and L.P. Swiler. 2015. "Bayesian Calibration of the Community Land Model using Surrogates." SIAM/ASA Journal on Uncertainty Quantification 3, no. 1:199-233. PNNL-SA-101091. doi:10.1137/140957998

2014

  • Bonneville A., B.N. Nguyen, M.L. Stewart, Z. Hou, C.J. Murray, and T.J. Gilmore. 2014. "Geomechanical Evaluation of Thermal Impact of Injected CO2 Temperature on a Geological Reservoir: Application to the FutureGen 2.0 Site." Energy Procedia 63. PNWD-SA-10393. doi:10.1016/j.egypro.2014.11.358
  • Etingov P.V., Y.V. Makarov, D. Wu, Z. Hou, Y. Sun, S. Maslennikov, and X. Luo, et al. 2014. "Uncertainty-based Estimation of the Secure Range for ISO New England Dynamic Interchange Adjustment." In 2014 IEEE PES Transmission & Distribution Conference & Exposition, April 14-17, 2014, Chicago, Illinois, 1-5. Piscataway, New Jersey:IEEE. PNNL-SA-97885. doi:10.1109/TDC.2014.6863202
  • Fang Z., Z. Hou, G. Lin, D.W. Engel, Y. Fang, and P.W. Eslinger. 2014. "Exploring the effects of data quality, data worth, and redundancy of CO2 gas pressure and saturation data on reservoir characterization through PEST Inversion." Environmental Earth Sciences 71, no. 7:3025-3037. PNNL-SA-88296. doi:10.1007/s12665-013-2680-9
  • Hou Z., D.H. Bacon, D.W. Engel, G. Lin, Y. Fang, H. Ren, and Z. Fang. 2014. "Uncertainty analyses of CO2 plume expansion subsequent to wellbore CO2 leakage into aquifers." International Journal of Greenhouse Gas Control 27. PNNL-SA-94280. doi:10.1016/j.ijggc.2014.05.004
  • Hou Z., P.V. Etingov, Y.V. Makarov, and N.A. Samaan. 2014. "Uncertainty Reduction in Power Generation Forecast Using Coupled Wavelet-ARIMA." In IEEE PES General Meeting, Conference & Exposition, July 27-31, 2014, National Harbor, MD. Piscataway, New Jersey:IEEE. PNNL-SA-99910.
  • Lu J., L. Leung, Q. Yang, G. Chen, W.D. Collins, F. Li, and Z. Hou, et al. 2014. "The Robust Dynamical Contribution to Precipitation Extremes in Idealized Warming Simulations across Model Resolutions." Geophysical Research Letters 41, no. 8:2971-2978. PNNL-SA-100968. doi:10.1002/2014GL059532
  • Makarov Y.V., B. Vyakaranam, D. Wu, Z. Hou, S.T. Elbert, and Z. Huang. 2014. "On the Configuration of the US Western Interconnection Voltage Stability Boundary." In IEEE PES Transmission and Distribution Conference and Exposition, April 14-17, 2014, Chicago, Illinois, 1-5. Piscataway, New Jersey:IEEE. PNNL-SA-97919. doi:10.1109/TDC.2014.6863289

2013

  • Bao J., Z. Hou, Y. Fang, H. Ren, and G. Lin. 2013. "Uncertainty quantification for evaluating impacts of caprock and reservoir properties on pressure buildup and ground surface displacement during geological CO2 sequestration." Greenhouse Gases: Science and Technology 3, no. 5:338-358. PNNL-SA-94881.
  • Bao J., Z. Hou, Y. Fang, H. Ren, and G. Lin. 2013. "Uncertainty quantification for evaluating impacts of caprock and reservoir properties on pressure buildup and ground surface displacement during geological CO2 sequestration." Greenhouse Gases: Science and Technology 3, no. 5:338-358. PNNL-SA-95799. doi:10.1002/ghg.1362
  • Hou Z., D.W. Engel, G. Lin, Y. Fang, and Z. Fang. 2013. "An Uncertainty Quantification Framework for Studying the Effect of Spatial Heterogeneity in Reservoir Permeability on CO2 Sequestration." Mathematical Geosciences 45, no. 7:799-817. PNNL-SA-85209. doi:10.1007/s11004-013-9459-0
  • Hou Z., Y.V. Makarov, N.A. Samaan, and P.V. Etingov. 2013. "Standardized Software for Wind Load Forecast Error Analyses and Predictions Based on Wavelet-ARIMA Models - Applications at Multiple Geographically Distributed Wind Farms." In Proceedings of the 46th Hawaii International Conference on System Sciences (HICSS), January 7-10, 2013, Wailea, Hawaii, edited by RH Sprague, Jr., 5005-5011. Los Alamitos, California:IEEE Computer Society. PNNL-SA-88799.
  • Mukhopadhyay S., Z. Hou, L.J. Gosink, D.H. Bacon, C.A. Doughty, J.J. Li, and L. Wei, et al. 2013. "Model Comparison and Uncertainty Quantification for Geologic Carbon Storage: The Sim-SEQ Initiative." Energy Procedia 37. PNNL-SA-91251. doi:10.1016/j.egypro.2013.06.284
  • Scheibe T.D., Z. Hou, B.J. Palmer, and A.M. Tartakovsky. 2013. "Pore-Scale Simulation of Intragranular Diffusion: Effects of Incomplete Mixing on Macroscopic Manifestations." Water Resources Research 49, no. 7:4277-4294. PNNL-SA-91962. doi:10.1002/wrcr.20333
  • Sun Y., Z. Hou, M. Huang, F. Tian, and L. Leung. 2013. "Inverse Modeling of Hydrologic Parameters Using Surface Flux and Runoff Observations in the Community Land Model." Hydrology and Earth System Sciences 17, no. 12:4995-5011. PNNL-SA-94605. doi:10.5194/hess-17-4995-2013
  • White S.K., L.J. Gosink, C. Sivaramakrishnan, G.D. Black, S. Purohit, D.H. Bacon, and Z. Hou, et al. 2013. "Implementations of a Flexible Framework for Managing Geologic Sequestration Modeling Projects." Energy Procedia 37. PNNL-SA-91339. doi:10.1016/j.egypro.2013.06.296
  • Zhao C., X. Liu, Y. Qian, J. Yoon, Z. Hou, G. Lin, and S.A. McFarlane, et al. 2013. "A Sensitivity Study of Radiative Fluxes at the Top of Atmosphere to Cloud-Microphysics and Aerosol Parameters in the Community Atmosphere Model CAM5." Atmospheric Chemistry and Physics 13. PNNL-SA-94914. doi:10.5194/acp-13-10969-2013

2012

  • Hou Z., M.L. Rockhold, and C.J. Murray. 2012. "Evaluating the impact of caprock and reservoir properties on potential risk of CO2 leakage after injection." Environmental Earth Sciences 66, no. 8:2403-2415. PNNL-SA-78848. doi:10.1007/s12665-011-1465-2

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