Duncan Anderson leads an R&D team in the S&P Commodity Insight data organization focused on applications of artificial intelligence systems to gas, power, agriculture, and climate.
Full BioDuncan Anderson leads an R&D team in the S&P Commodity Insight data organization focused on applications of artificial intelligence systems to gas, power, agriculture, and climate. This team is currently focused on understanding the relationship between weather/climate variables and the power system, with an emphasis on the forecasting of nodal real-time and day-ahead LMPs.
Mr. Anderson has worked in North American power market forecasting for ten years, building bespoke and commercial power market forecasting models focused on capacity expansion modeling, wholesale power price forecasting, and climate policy analysis. Before joining IHS in 2014, Duncan worked at Charles River Associates and Berkeley Research Group.
Duncan completed a masters degree in Industrial Engineering and Operations Research (IEOR) at The University of Texas at Austin in 2020, with a thesis focused on using simulation models and clustering algorithms to place infrastructure in logistics networks. He holds a dual undergraduate degree from Cornell University in Applied Economics and Environmental Engineering
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