This paper examines a California-based microgrid's decision to invest in a distributed generation (DG) unit fuelled by natural gas. While the long-term natural gas generation cost is stochastic, we initially assume that the microgrid may purchase electricity at a fixed retail rate from its...

Investment in renewable energy sources requires reliable data. However, meteorological datasets are often plagued by missing data, which can bias energy resource estimates if the missingness is systematic. We address this issue by considering the influence of missing data due to icing of...

The simultaneous use of several forecasting models is becoming increasingly common in electric load prediction. We discuss some of the concepts and methods involved in this approach, present a form of taxonomy and evaluate counterarguments. Ultimately, a pragmatic justification for the approach...