Josh Bode specializes in advanced applications of data analytics using large volumes of hourly and sub-hourly data for evaluation, valuation, planning, and forecasting in the energy sector. He has led over 50 studies including some of the first innovations and largest applications of smart meter and SCADA data analytics in topics as varied as:

• Impact evaluations of time varying pricing, demand response, behavioral programs, and energy efficiency programs
• Location specific probabilistic forecasting and planning methods, including locations specific T&D marginal costs
• DER valuation and cost-effectiveness
• Market potential studies of DER’s including distribution level micro-potential studies
• Value based targeting analytics

As part of these studies he has worked with smart meter data for millions of residential, small and medium businesses, and with the full population of large customers from numerous utilities. He also has applied experience with large scale transmission level, substation, and distribution circuit feeder hourly data from multiple utilities, including PG&E, ConEdison, O&R, Central Hudson, NYSEG, RG&E, and National Grid (Rhode Island). Most recently, he has worked on projects designed to align distributed energy resources with grid value and in developing location specific, probabilistic forecasts, and T&D marginal costs. He received a B.S. degree in Business Economics from Willamette University and a Master’s degree in Public Policy from the University of California, Berkeley.