ZG enhances its Load Forecasting Services to incorporate the use of machine learning methods

ZG has enhanced its load forecasting services to incorporate the use of machine learning methods. ZG began utilizing Enverus’ e-LoadForecast ® along with ZG’s similar-day approach to provide hourly load forecasts for CAISO Day Ahead scheduling of its Community Choice Aggregation (CCA) clients. With recent dramatic changes in load patterns due to shelter-in-place orders and fire seasons ZG anticipates that adopting use of machine learning forecasting tools will provide enhanced capability to adapt faster to the recent changes.