Library: Pacific Gas and Electric Company, Ridge & Associates

This paper describes an approach for identifying, quantifying, and managing risk that maximizes the probability that PG&E will meet its energy and demand savings targets. This paper provides concrete examples of how both primary and secondary data have been used to modify various parameters (e.g. net-to-gross ratios, installed units) that adjust the forecast and assess the probability of not achieving the energy and demand targets. The simulation results guide the selection of actionable strategies to manage this risk. Continuous monitoring of key portfolio performance indicators (e.g. installation counts and levelized cost) help determine the success of each particular strategy. (Abstract only)