Digitisation of Energy Group

The group develops proprietary software tools and also applies commercially available solutions to address challenges of solar PV deployment which can be solved by information technology (IT) and artificial intelligence (AI). One of the challenges is the high variability of the solar resource, particularly in tropical regions such as Singapore. This is being addressed by “solar forecasting”, for which the group has developed a fully operational forecasting system that has been successfully implemented at the Power System Operation Division (PSOD) of Singapore’s grid operator EMA (Energy Market Authority). It combines several data streams from ground sensors, satellite imagery and numerical weather prediction models with advanced machine learning blending approaches to generate the best-possible combination of forecasting techniques over time horizons ranging from 5 minutes to 24 hours ahead. Beyond Singapore, the group has also developed a regional solar forecasting model based on high-resolution satellite data. Another challenge is the highly distributed nature of solar PV deployment (particularly in urban areas) and the need for remote monitoring and control. SERIS has developed a proprietary “live” monitoring system that lets asset owners know their PV power generation in real time, which greatly assists trouble shooting, energy flow optimisations for self-consumption, and reporting to the authorities (e.g. to the grid operator). The group also has in‑depth knowledge in solar potential assessment (on building, neighbourhood and city-scale), complex glare studies, and various types of feasibility studies.