A key driving force in the decarbonisation journey is the optimisation of fuel use while we continue to integrate renewable sources in our energy mix. Utility companies count on various external factors and internal resources to precisely perform power load forecasting. By incorporating digital capability, millions of historical load profile and external data points can be analysed in real-time with dynamic forecasting to maximise operational efficiency and optimise the power supply and demand balance at the grid level.
Traditional load forecasting is a complex process that involves analysing a vast amount of historical energy data and external factors. This method has its limitations and is often based on professional experience of system planners who use various energy profile models to make their judgements. However, this manual process by experienced and professional system planners does not facilitate knowledge transfer. Digitalising the energy profile modelling and forecasting process is an effective and scientific way to minimise fuel consumption and improve energy efficiency.