November 10, 2021 - 11:00 AM - 12:30 PM Eastern Time (ET)

Applying Machine Learning
in Energy Policy Research

Event Description:

Machine learning, the use of algorithms and statistical models to analyze and draw inferences from patterns in high dimensional data, is seeing rapidly expanded application in the energy sector, for instance for improved forecasts of wind and solar energy availability, optimized control of complex energy systems, or predictive maintenance of energy systems. In research, machine learning provides new tools to analyze questions with relevance for energy policy decisions, such as the effectiveness of energy efficiency interventions or the probability and duration of weather-related electricity outages. In this webinar, Erica Myers, Associate Professor of Economics at the University of Calgary, and Christopher R. Knittel, George P. Shultz Professor and Faculty Director of MIT CEEPR, will share insights from their latest work using machine learning for energy policy research.


Christopher Knittel

Christopher R. Knittel is the George P. Shultz Professor of Applied Economics at the Sloan School of Management, Director of the Center for Energy and Environmental Policy Research, and Deputy Director for Policy of the Energy Initiative at the Massachusetts Institute of Technology. He joined the faculty at MIT in 2011, having taught previously at UC Davis and Boston University. Professor Knittel received his B.A. in economics and political science from the California State University, Stanislaus in 1994 (summa cum laude), an M.A. in economics from UC Davis in 1996, and a Ph.D. in economics from UC Berkeley in 1999. His research focuses on environmental economics, industrial organization, and applied econometrics. He is a Research Associate at the National Bureau of Economic Research in the Productivity, Industrial Organization, and Energy and Environmental Economics groups.
Erica Myers
University of Calgary

Erica Myers is an Associate Professor at the University of Calgary. She received her PhD in Environmental and Resource Economics from UC Berkeley in 2014. Prior to her doctoral studies, she worked as a research assistant at Resources for the Future from 2007 to 2009. Her primary area of interest is in environmental and energy economics. She has done work on the design and implementation of carbon allowance markets and testing for the presence of market failures that may lead to under-investment in energy efficiency. Recently, her work has focused on the salience of energy costs in home rental and purchase decisions and its implications for investment in energy efficiency.
Joshua Hodge

Joshua Hodge is Executive Director of the MIT Center for Energy and Environmental Policy Research (CEEPR), where he coordinates research activities and is responsible for the Center’s budget and manages Center staff. His areas of expertise include domestic and international climate and energy policy, with a focus on energy transition and renewable energy policies in the United States. Joshua’s recent work has included assisting rural electric cooperatives in the U.S. with decarbonization strategy. He is also a member of the MIT Net-Zero by 2026 Faculty Review Committee.