Sam Borgeson
Publications
Viewing 12 of 12 publications
2020
, , , , , , and . "Winners are not keepers: Characterizing household engagement, gains, and energy patterns in demand response using machine learning in the United States." Energy Research & Social Science 70 (2020).
2016
, , , , , , and . Load Shape Clustering Using Residential Smart Meter Data: a Technical Memorandum. 2016.
, , , , , and . "Time Will Tell: Using Smart Meter Time Series Data to Derive Household Features and Explain Heter ogeneity in Pricing Programs." 2016 ACEEE Summer Study on Energy Efficiency in Buildings 2016.
2017
, , , , , , and . "Comparison of Clustering Techniques for Residential Energy Behavior using Smart Meter Data." AAAI Workshops - Artificial Intelligence for Smart Grids and Buildings, March 2017. San Francisco, CA , 2017.
2008
, , , and . "U.S. Building-Sector Energy Efficiency Potential." (2008).
, , , , , and . "Beta version SEDS Lite Building Module." 2008.
, , , , , and . "A Buildings Module for the Stochastic Energy Deployment System." ACEEE 2008 Summer Study on Energy Efficiency in Buildings 2008.
2009
, , , , , , and . "Japan’s Long-term Energy Demand and Supply Scenario to 2050 - Estimation for the Potential of Massive CO2 Mitigation." IEEJ Energy Journal of the Institute of Energy Economics, Japan 4 (2009).
, , , , , , and . "Japan’s Energy Outlook for 2050 with Stochastic Sectoral Modeling." IEEJ Energy Journal of the Institute of Energy Economics, Japan 4 (2009).
, , , , , and . "Towards a Very Low Energy Building Stock: Modeling the US Commercial Building Stock to Support Policy and Innovation Planning." Building Research and Information 37:5 (2009).
, , , , , and . "Towards a Very Low Energy Building Stock: Modeling the U.S. Commercial Building Sector to Support Policy and Innovation Planning." Building Research & Information (2009).
, , , , , , , , , and . Feasibility of Achieving a Zero-Net-Energy, Zero-Net-Cost Homes. Berkeley: Lawrence Berkeley National Laboratory, 2009.