Solar forecasting model by SERIS will boost reliability and resilience of Singapore’s power grid

The Solar Energy Research Institute of Singapore (SERIS) at NUS has completed a one-year trial of a model which can forecast Singapore’s island-wide solar irradiance – the amount of light energy produced by the Sun – up to one hour ahead.

Combining data from real-time irradiance sensors installed across Singapore, solar forecasting techniques such as satellite imagery and machine learning algorithms, the first-of-its-kind forecast model can generate round-the-clock solar irradiance forecasts at regular intervals from 5 minutes to 24 hours ahead of schedule.

Singapore’s power supply infrastructure operator, the Energy Market Authority, will incorporate the model’s forecasts by 2023. The model will allow for pre-emptive adjustment of power generation plants and energy storage systems to manage solar intermittency and maintain reliability and resilience of the power grid as Singapore transitions to clean energy.

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Read the full press release here.