Adaptive in-situ forecasting for demand-side management in low voltage power grids

This paper describes a concept and results for adaptive in-situ forecasting for demand-side management (DSM) in low voltage power grids. It is motivated by shortcomings of the predominant development strategy for prediction models: When these are trained as static models, i.e. offline on previously acquired data, they cannot adapt quickly to new environments, and they require centralized data coll...