Case Study: IWB improves solar power forecasting and low-voltage grid management with SAP

IWB Using machine learning to predict solar power production

IWB, a utilities and energy solutions provider in Switzerland, was facing growing complexity in its low-voltage grid as more decentralized solar PV systems, electric vehicles, and heat pumps increased demand and changed consumption patterns. To better plan and operate its network, IWB turned to SAP, using solutions including SAP Datasphere, SAP Analytics Cloud, SAP HANA Cloud, and SAP Energy Data Management to improve forecasting and grid visibility.

SAP implemented an integrated, machine-learning-based approach that combined historical, current, and meteorological data to predict photovoltaic power production and centralize load-profile calculations. As a result, IWB gained smarter decision-making and real-time insight into the grid, improved meter readings, and added more than 8 hours to its forecast horizon, helping support over 1,700 solar plants and improve sustainable power supply management.

IWB

Daniel Grossenbacher

Head of Asset Management