Evan D. Sherwin
Title
Cited by
Cited by
Year
Tackling Climate Change with Machine Learning
D Rolnick, PL Donti, LH Kaack, K Kochanski, A Lacoste, K Sankaran, ...
arXiv preprint arXiv:1906.05433, 2019
1052019
Estimation of the year-on-year volatility and the unpredictability of the United States energy system
ED Sherwin, M Henrion, IML Azevedo
Nature Energy 3 (4), 341-346, 2018
132018
Single-blind test of airplane-based hyperspectral methane detection via controlled releases
ED Sherwin, Y Chen, A Ravikumar, AR Brandt
EarthArXiv, 2020
12020
Characterizing the association between low-income electric subsidies and the intra-day timing of electricity consumption
ED Sherwin, IML Azevedo
Environmental Research Letters 15 (9), 094089, 2020
2020
brief
E Sherwin, A Brandt
2020
Low-Carbon Electrofuel Synthesis From Variable Renewable Electricity: An Optimization-Based Techno-Economic Analysis
E Sherwin
Energy Transitions in the 21st Century, 37th USAEE/IAEE North American†…, 2019
2019
Publisher Correction: Estimation of the year-on-year volatility and the unpredictability of the United States energy system
ED Sherwin, M Henrion, AI ML
Nature Energy 4 (4), 348-348, 2019
2019
Do low-income electricity subsidies change peak consumption behavior?
ED Sherwin, RM Meyer, IML Azevedo
Energy Efficiency in Domestic Appliances and Lighting (EEDAL'17), 1270, 2017
2017
Introducing Probability into Energy Forecasting
L Kaack, J Apt, GMI Azevedo, E Sherwin
The Dynamic Energy Landscape, 33rd USAEE/IAEE North American Conference, Oct†…, 2015
2015
Electrofuel Synthesis from Variable Renewable Electricity: An Optimization-Based Techno-Economic Analysis
ED Sherwin
Available at SSRN 3646570, 0
Identifying air conditioners using monthly household electricity consumption
ED Sherwin
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