Dr Nick Engerer
July 17, 2020
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Solcast has an established history of collaboration with load forecasting tech company, TESLA Forecast. Together, we've been providing load forecasts operationally to AEMO WA for the past two years. Tesla Forecast uses customised Solcast Grid Aggregations for the Southwest Interconnect System (SWIS), in order to adjust the daily and hourly load profiles for the rooftop solar generation.
Behind the Meter Load Forecasting
As previously covered on our blog, Solcast is now leading a consortium which includes TESLA Forecast, AEMO and several other key partners to deploy a similar service in South Australia (SA).
Together, we're advancing the technology for rooftop solar forecasting, and the resulting load (demand) forecasts for SA to accomodate for the 'nowcasting' forecast horizon. This extends from the first few minutes through the first few hours. It will feature new cloud growth and decay modelling from Solcast, and update the demand forecasts sub-hourly.
Advancing the Science of Load Forecasting for the Emu Curve
Substantial investment has been made in improving the very short range (0-5 minute ahead) and longer range (day ahead to week ahead) weather forecasting horizons. This project’s aim is to improve weather forecasting at the 5 to 360 minute ahead forecasting horizon, where a significant technology gap has been identified.
Rapid increases in embedded rooftop PV over the last decade has morphed the daily shape of the South Australian system demand curve. Due to its slightly different shape than the Californian Duck Curve, it’s known as the Emu Curve in Australia.
Collaborative Load Forecasting Case Study
Together, we've published a collaborative case study document, covering the most important aspects of our collaboration. It includes a few key examples on how the demand curve has been changing in SA over time, and the fundamental challenges this invokes. We'll be sure to update you with further results and findings as the project progresses over 2020 and 2021.
