Clustering Interval Load with Weather to Create Scenarios of Behind-the-Meter Solar Penetration

no code implementations • 8 Mar 2024 • Allison M. Campbell, Soumya Kundu, Andrew P. Reiman, Orestis Vasios, Ian Beil, Andy Eiden

Forecasting load at the feeder level has become increasingly challenging with the penetration of behind-the-meter solar, as this self-generation (also called total generation) is only visible to the utility as aggregated net-load.

KPF-AE-LSTM: A Deep Probabilistic Model for Net-Load Forecasting in High Solar Scenarios

no code implementations • 5 Mar 2022 • Deepthi Sen, Indrasis Chakraborty, Soumya Kundu, Andrew P. Reiman, Ian Beil, Andy Eiden

With the expected rise in behind-the-meter solar penetration within the distribution networks, there is a need to develop time-series forecasting methods that can reliably predict the net-load, accurately quantifying its uncertainty and variability.

Load Forecasting Time Series +1