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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
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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: Andrew Gelman

2014

Price, Phillip N, and Andrew Gelman."Centralized Analysis of Local Data, With Dollars and Lives on the Line: Lessons From The Home Radon Experience."Data Analytics in Social Science, Government, and Industry (2014).

2004

Reilly, Cavan, Phillip N Price, Andrew Gelman, and Scott A Sandgathe."Using Image and Curve Registration for Measuring the Goodness of Fit of Spatial and Temporal Predictions."Biometrics 60 (2004) 954-964.

1996

Gelman, Andrew, Frédéric Y Bois, and Jiming Jiang."Physiological pharmacokinetic analysis using population modeling and informative prior distributions."Journal of the American Statistical Association 91 (1996) 1400-1412. DOI
Bois, Frédéric Y, Andrew Gelman, Jiming Jiang, Don Maszle, Lauren Zeise, and George Alexeeff."Population toxicokinetics of tetrachloroethylene."Archives of Toxicology 70 (1996) 347-355.

1995

Price, Phillip N, Anthony V Nero, and Andrew Gelman."Bayesian Prediction of Mean Indoor Radon Concentrations for Minnesota Counties."Health Physics (1995).
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