• Report

  Operational Demand Forecasting Using Ensemble Learning

  This project investigated ensemble learning methods for day-ahead electricity operational forecasting across all National Electricity Market (NEM) regions in Australia, in collaboration with Australian Energy Market Operator (AEMO) and the Department of Industry, Science, Energy and Resources (DISER), Australia. Using historical operational demand and weather data, machine learning methods were developed that can select and combine from multiple forecasting models to maximize the forecasting accuracy.

  AEMOforecasting
• Report

  Probabilistic forecasting of operational demand in Australia

  This research presents one-day ahead probabilistic load forecasting of operational demand across the National Electricity Market (NEM).

  AEMOforecasting

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