5 citations · 6 across the 2 of their papers we have counts for
2 papers
econ.GN2025★ 1 cited
Forecasting Residential Heating and Electricity Demand with Scalable, High-Resolution, Open-Source Models
Stephen J. Lee, Cailinn Drouin
We present a novel framework for high-resolution forecasting of residential heating demand and non-heating electricity demand using probabilistic deep learning models. Because our…
econ.GN2020★ 5 cited
No COVID-19 Climate Silver Lining in the US Power Sector
Max Luke, Priyanshi Somani, Turner Cotterman +2
Recent studies conclude that the global coronavirus (COVID-19) pandemic decreased power sector CO emissions globally and in the United States. In this paper, we analyze the sta…