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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 improving the country's aging electrical grid and innovating distributed energy and storage solutions; developing grid-integrated building systems; and providing the most comprehensive market and data analysis worldwide.

    • Securing U.S. Critical Minerals & Materials Supply Chain
    • Driving Energy Innovation in Data Centers
    • Energy Storage
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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 reliability are key to the foundation of our research, which is driven by techno-economic analysis and in-lab experimentation and discovery.

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      • Building & Industrial Energy Systems
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Publications

Publications by Research Area

Buildings
Demand Response
Energy Markets & Planning
Energy Efficiency
Energy Storage
Industrial Energy Analysis
Systems and Energy Technologies Analysis
Transportation

Publications by Division

Building & Industrial Energy Systems (BIES)
Energy Analysis (EA)
Energy Technologies & Systems (ETS)
X Author: Ruoxi Jia

2019

Jia, Ruoxi, Ming Jin, Kaiyu Sun, Tianzhen Hong, and Costas Spanos."Advanced Building Control via Deep Reinforcement Learning."Energy Procedia 158 (2019) 6158 - 6163. DOI
Jin, Ming, Ruoxi Jia, Hari Prasanna Das, Wei Feng, and Costas Spanos."BISCUIT: Building Intelligent System Customer Investment Tools."Energy Procedia 158 (2019) 6152 - 6157. DOI

2018

Sangogboye, Fisayo Caleb, Ruoxi Jia, Tianzhen Hong, Costas Spanos, and Mikkel Baun Kjærgaard."A Framework for Privacy-Preserving Data Publishing with Enhanced Utility for Cyber-Physical Systems."ACM Transactions on Sensor Networks 14.3-4 (2018) 1 - 22. DOI
Wang, Zhe, Tianzhen Hong, and Ruoxi Jia."Buildings.Occupants: a Modelica package for modelling occupant behaviour in buildings."Journal of Building Performance Simulation (2018) 1 - 12. DOI
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