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    Energy Technologies Area (ETA) researchers are continually building on the strong scientific foundation we have developed over the past 50 years. We address the world’s most pressing scientific challenges across the buildings, transportation, and industrial sectors. ETA is at the forefront of developing better batteries for electric vehicles; improving the country's aging electrical grid and innovating distributed energy and storage solutions; developing grid-interactive, efficient buildings; and providing the most comprehensive market and data analysis worldwide.

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    The Energy Technologies Area (ETA) is unique in translating fundamental scientific discoveries into scalable technology adoption. Our approach combines an understanding of the marketplace and the role of state and federal regulation and policies. ETA's research drives real-world, practical results that affect and improve the everyday lives of Americans and those across the globe. Saving energy and increasing resilience are key to the foundation of our research, which is driven by technoeconomic analysis and in-lab experimentation and discovery.

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Publications

Publications by Research Area

Buildings
Demand Response
Energy Markets & Policy
Energy Efficiency
Energy Storage
Industrial Energy Analysis
Renewable Energy
Sustainable Energy & Environmental Systems
Transportation

Publications by Division

Building Technology (BTUS)
Energy Analysis (EAEI)
Energy Storage (ESDR)
X Author: Mariam Kiran

2021

Touzani, Samir, Anand Prakash, Zhe Wang, Shreya Agarwal, Marco Pritoni, Mariam Kiran, Richard E Brown, and Jessica Granderson."Controlling distributed energy resources via deep reinforcement learning for load flexibility and energy efficiency."Applied Energy (2021). DOI

2020

Dobson, Patrick, Dipankar Dwivedi, Dev Millstein, Nandini Krishnaswamy, Julio Garcia, and Mariam Kiran."Analysis of curtailment at The Geysers geothermal Field, California."Geothermics 87 (2020) 101871. DOI
Prakash, Anand, Samir Touzani, Mariam Kiran, Shreya Agarwal, Marco Pritoni, and Jessica Granderson."Deep Reinforcement Learning in Buildings: Implicit Assumptions and their Impact."RLEM'20: Proceedings of the 1st International Workshop on Reinforcement Learning for Energy Management in Buildings & Cities (2020). DOI
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