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Abinet Tesfaye Eseye is a postdoctoral researcher with the Complex Systems Simulation and Optimization Group in the Computational Science Center at NREL. His research work at NREL focuses on simulation, control, and optimization of large-scale power distribution systems containing high penetration of distributed energy resources, design and implementation of power system resiliency enhancement strategies, hybrid energy systems, advanced computing, model predictive control, and deep-reinforcement learning.

Prior to joining NREL, he was a postdoctoral researcher in power systems in the Department of Electrical Engineering & Automation at Aalto University, where he contributed to one of the world smart city pilot projects called Smart Otaniemi Innovation Ecosystem. He also worked at Goldwind Science and Technology Co., one of the world's leading wind turbine and control manufacturer, as a renewable energy and microgrid R&D engineer.

He has published over 25 papers in peer-reviewed scientific journals and conferences, and granted/filed seven invention patents. He has been an active development team member of the International Electrotechnical Commission Standard for Microgrid Protection and Dynamic Control (IEC/TS 62898-3-1). In addition, he has been voluntarily serving many journals in his field in editorial and reviewer roles.

For additional information, see Abinet Tesfaye Eseye's LinkedIn profile

Disclaimer: Any opinions expressed on LinkedIn are the author’s own, made in the author's individual capacity, and do not necessarily reflect the views of NREL.

Research Interests

Electric power system 
Microgrid (hybrid energy system) 
Renewable energy 
Distributed generation 
Simulation, control, and optimization 
Energy management and generation/demand forecasting 
Machine learning and data analytics 
Resiliency science and strategy 
Demand response and flexibility 
Advanced high-performance computing 


Ph.D., Electrical Power System & Automation, North China Electric Power University 
M.S., Electrical Power Systems Engineering, Bahir Dar University 
B.S., Electrical Engineering, Hawassa University 

Professional Experience

Postdoctoral Researcher, NREL (2019–present) 
Postdoctoral Researcher, Aalto University (2018–2019) 
Renewable Energy and Microgrid R&D Engineer, Goldwind Science and Technology Co. (2015–2018) 
Lecturer and Head of Department, Mettu University (2012–2014) 
Editorial Board (2017–present): 

  • International Journal of Economy, Energy and Environment
  • MDPI Artificial Intelligence
  • SCIREA Journal of Energy
  • SCIREA Journal of Electrical Engineering 

Peer Reviewer (2017–present) : 

  • IEEE Transactions on Sustainable Energy
  • IEEE Transactions on Industrial Electronics
  • IEEE Access
  • IEEE Power Engineering Letters, Elsevier Energy
  • Elsevier Solar Energy, Elsevier Measurement
  • Journal of Electrical Engineering & Technology
  • CSEE Journal of Power and Energy Systems
  • Journal of Applied Meteorology and Climatology
  • Journal of Ambient Intelligence and Humanized Computing 

Associations and Memberships

Member, IEEE Power and Energy Society

Featured Work

Short-Term Forecasting of Heat Demand of Buildings for Efficient and Optimal Energy Management Based on Integrated Machine Learning ModelsIEEE Transactions on Industrial Informatics (2020) 
Restoring Distribution System Under Renewable Uncertainty Using Reinforcement Learning, NREL Conference Paper Preprint (2020) 
Optimal Energy Trading for Renewable Energy Integrated Building Microgrids Containing Electric Vehicles and Energy Storage BatteriesIEEE Access (2019) 
Machine Learning Based Integrated Feature Selection Approach for Improved Electricity Demand Forecasting in Decentralized Energy Systems, IEEE Access (2019) 
Adaptive Predictor Subset Selection Strategy for Enhanced Forecasting of Distributed PV Power GenerationIEEE Access (2019) 
Short-Term Photovoltaic Solar Power Forecasting Using a Hybrid Wavelet-PSO-SVM Model Based on SCADA and Meteorological InformationRenewable Energy (2018) 
A Communication-Supported Comprehensive Protection Strategy for Converter-Interfaced Islanded MicrogridsSustainability (2018) 
Optimal Energy Management for Industrial Microgrids with High-penetration RenewablesProtection and Control of Modern Power Systems (2017) 
Short-Term Wind Power Forecasting Using a Double-Stage Hierarchical Hybrid GA-ANFIS ApproachIEEE ICCCBDA (2017) 
Optimal Energy Management Strategy for an Isolated Industrial Microgrid Using a Modified Particle Swarm Optimization Technique, IEEE ICPRE (2016) 


Method and System for Wind Farm Generation Power Prediction, CN Patent No. CN107124003 (2020) 
Method and System for Dynamic Dispatching of Energy Resources in Isolated Microgrids, CN Patent No. CN107017625 (2019)  
Method, Relay and System for Islanded Microgrid Protection, CN Patent No. CN108110738 (2019) 
Optimal Energy Management Method and System for Grid-connected Microgrids, CN Patent No. CN106953362 (2017) 
Method and System for Short-term Photovoltaic Solar Power Forecasting, CN Patent No. CN107358059 (2017) 
Economic Energy Management Method and System for Isolated Microgrids, CN Patent No. CN106911148 (2017) 
Method and System for Short-term Wind Power Forecasting, CN Patent No. CN107016470 (2017) 

Awards and Honors

Young Entrepreneur Award, Zhongguancun Belt and Road Industrial Promotion – International Center for Innovation & Entrepreneurship (2018) 
Excellent Paper Award, IEEE International Conference on Big Data Analysis (2017) 
Great Distinction Graduation Award, Hawassa University (2010)