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Energy and Environment Directorate

Veronica Adetola

Veronica Adetola

(509) 371-6996


Veronica Adetola is a Control Systems Scientist with expertise in model predictive control, robust and adaptive control, machine learning for control, dynamical system analysis, and control architecture design. She has more than ten years’ experience in research, development, and demonstration of advanced technology solutions for energy-efficient systems, grid-interactive buildings, transport refrigeration, and aerospace air management systems. Before joining PNNL in 2019, Veronica worked at the United Technologies Research Center where she contributed to and successfully led activities in support of multiple UTC businesses and government-funded research programs.

Research Interests

  • Learning for decision and predictive feedback control
  • Advanced design and control solutions for grid-interactive energy efficient buildings
  • Reliable and cost-effective integration of distributed energy resources into the power grid
  • Resiliency of critical infrastructures
  • Conventional power generation, renewables and energy storage applications

Education and Credentials

  • PhD, Chemical Engineering (Control Systems), Queen’s University, Canada
  • M.Sc., Chemical Engineering (Process Control), Queen’s University, Canada

Affiliations and Professional Service

  • Associate Editor, IEEE Transactions on Control Systems Technology
  • Senior Member, Institute of Electrical and Electronics Engineers (IEEE)
  • Member, American Society of Heating, Refrigerating and Air-Conditioning Engineers (ASHRAE)
  • Board of Governor, IEEE Control Systems Society, 2019
  • Associate Editor, IEEE conferences (CDC, ACC), 2012 -2018

Awards and Recognitions

  • ASHRAE Science and Technology for the Built Environment, 2015 Best Paper Award
  • UTRC Outstanding Achievement Award for developing, demonstrating and transitioning model-based controls technologies to UTC businesses, 2013
  • IFAC prize for the Best Methodology/Theory Paper published in the Journal of Process Control for the period 2008-2011, 2012
  • IEEE Kingston Section Research Excellence Award for Doctoral Research, 2008
  • Best session paper, IEEE Conference on Decision and Control, 2006.

PNNL Publications


  • Bortoff S., B. Eisenhower, V.A. Adetola, and Z. O'Neill. 2024. "Building Automation." In The Impact of Automatic Control Research on Industrial Innovation, edited by S. Mastellone and A. van Delft. 43-84. Hoboken, New Jersey:John Wiley & Sons, Inc. PNNL-SA-188053. doi:10.1002/9781119983644.ch3
  • Ramachandran T., S.S. Vasisht, A. Rahman, A. Bhattacharya, and V.A. Adetola. 2024. "A Computational Framework for Control Co-design of Resilient Cyber-Physical Systems with Applications to Microgrids." IEEE Transactions on Control Systems Technology 32, no. 3:793 - 804. PNNL-SA-183583. doi:10.1109/TCST.2023.3342144


  • Mukherjee S., R. Hossain, Y. Liu, W. Du, V.A. Adetola, S. Mohiuddin, and Q. Huang, et al. 2023. "Enhancing Cyber Resilience of Networked Microgrids using Vertical Federated Reinforcement Learning." In IEEE Power & Energy Society General Meeting (PESGM 2023), July 16-20, 2023, Orlando, FL, 1-5. Piscataway, New Jersey:IEEE. PNNL-SA-178010. doi:10.1109/PESGM52003.2023.10252480
  • Roy S., S. Nandanoori, S. Sarker, S. Kundu, and V.A. Adetola. 2023. "Disturbance Propagation Stability in Droop-Controlled Microgrids." In American Control Conference (ACC 2023), May 31-June 2, 2023, San Diego, CA, 3472-3477. Piscataway, New Jersey:IEEE. PNNL-SA-178344. doi:10.23919/ACC55779.2023.10156216
  • Sharma H., L.D. Marinovici, V.A. Adetola, and H.T. Schaef. 2023. "Data-Driven Modeling of Power Generation for a Coal Power Plant Under Cycling." Energy and AI 11. PNNL-SA-171444. doi:10.1016/j.egyai.2022.100214
  • Upton S.A., G.L. Kidd, S. Kundu, S. Bhattacharya, Y. Lin, V.A. Adetola, and T. Ramachandran, et al. 2023. Introduction to ALERT: A User-Interface Tool for Resilient Optimization: Technical Report. PNNL-35082. Richland, WA: Pacific Northwest National Laboratory. Introduction to ALERT: A User-Interface Tool for Resilient Optimization: Technical Report
  • Vu T., S. Mukherjee, and V.A. Adetola. 2023. "Resilient Communication Scheme for Distributed Decision of Interconnecting Networks of Microgrids." In IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT 2023), January 16-19, 2023, Washington, DC, 1-5. Piscataway, New Jersey:IEEE. PNNL-SA-177453. doi:10.1109/ISGT51731.2023.10066341


  • Nazir M., T. Ramachandran, S. Bhattacharya, A. Singhal, S. Kundu, and V.A. Adetola. 2022. "Optimization-Based Resiliency Verification in Microgrids via Maximal Adversarial Set Characterization." In American Control Conference (ACC 2022), June 8-10, 2022, Atlanta, GA, 2214-2220. Piscataway, New Jersey:IEEE. PNNL-SA-167569. doi:10.23919/ACC53348.2022.9867826


  • Bhattacharya A., S.S. Vasisht, V.A. Adetola, S. Huang, H. Sharma, and D.L. Vrabie. 2021. "Control Co-Design of Commercial Building Chiller Plant using Bayesian Optimization." Energy and Buildings 246. PNNL-SA-158439. doi:10.1016/j.enbuild.2021.111077
  • Bhattacharya S., H. Sharma, and V.A. Adetola. 2021. "Towards Learning-Based Architectures for Sensor Impact Evaluation in Building Controls." In Proceedings of the Twelfth ACM International Conference on Future Energy Systems (e-Energy '21), June 28-July 2, 2021, Virtual, Online, 493-498. New York, New York:Association for Computing Machinery. PNNL-SA-161319. doi:10.1145/3447555.3466591
  • Fu Y., Z. O'Neill, and V.A. Adetola. 2021. "A Flexible and Generic Functional Mock-up Unit Based Threat Injection Framework for Grid-interactive Efficient Buildings: A Case Study in Modelica." Energy and Buildings 250. PNNL-SA-162819. doi:10.1016/j.enbuild.2021.111263
  • Fu Y., Z. O'Neill, Z. Yang, V.A. Adetola, J. Wen, L. Ren, and T. Wagner, et al. 2021. "Modeling and Evaluation of Cyber-Attacks on Grid-Interactive Efficient Buildings." Applied Energy 303. PNNL-SA-161423. doi:10.1016/j.apenergy.2021.117639
  • Jain M., S. Kundu, A. Bhattacharya, S. Huang, V. Chandan, N. Radhakrishnan, and V.A. Adetola, et al. 2021. "Occupancy-Driven Stochastic Decision Framework for Ranking Commercial Building Loads." In Proceedings of the American Control Conference (ACC 2021), May 25-28, 2021, Virtual, New Orleans, LA, 2021, 4171 - 4177. Piscataway, New Jersey:IEEE. PNNL-SA-156937. doi:10.23919/ACC50511.2021.9482639
  • Kundu S., A. Bhattacharya, V. Chandan, N. Radhakrishnan, V.A. Adetola, and D.L. Vrabie. 2021. "A Stochastic Multi-Criteria Decision-Making Algorithm for Dynamic Load Prioritization in Grid-Interactive Efficient Buildings." ASME Letters in Dynamic Systems and Control 1, no. 3:Article No. 031014. PNNL-SA-156073. doi:10.1115/1.4050124
  • Lu X., V.A. Adetola, and Z. O'Neill. 2021. "What are the Impacts on the HVAC System when it Provides Frequency Regulation? - A Comprehensive Case Study with a Multi-Zone Variable Air Volume (VAV) System." Energy and Buildings 243. PNNL-SA-156823. doi:10.1016/j.enbuild.2021.110995
  • Mukherjee S., and V.A. Adetola. 2021. "A Secure Learning Control Strategy via Dynamic Camouflaging for Unknown Dynamical Systems under Attacks." In IEEE Conference on Control Technology and Applications (CCTA 2021), August 9-11, 2021, Virtual, Online, 905-910. Piscataway, New Jersey:IEEE. PNNL-SA-159067. doi:10.1109/CCTA48906.2021.9659093
  • Sharma H., V.A. Adetola, L.D. Marinovici, and H.T. Schaef. 2021. "DATA DRIVEN APPROACH TO ANALYZING THE IMPACT OF POWER PLANT CYCLING ON AIR PREHEATER DEGRADATION AND REMAINING USEFUL LIFE." In ASME Turbo Expo 2021: Turbomachinery Technical Conference and Exposition, June 7-11, 2021, Virtual, Online, Volume 9B, Paper No: GT2021-59914, V09BT26A013. New York, New York:ASME. PNNL-SA-158306. doi:10.1115/GT2021-59914

Energy and Environment

Core Research Areas