Renewable electricity networks are strained by the increased demand for high power charging, and the volatility of renewable sources. Demand Side Management (DSM) is a framework that addresses this challenge through information sharing, integrated planning, and smarter decision making across the network. However, a DSM implementation suffers from data integration, security, and standardisation problems. AIDEMS’ objective is to power DSM platforms with new data models and machine learning algorithms that balance finding optimal solutions that account for greater parts of the network, with search tractability.
--- Main Cluster: ITEA 3 | Secondary Cluster: EUROGIA