Christen, RamónLayec, VincentWilke, GwendolinWache, HolgerDonnellan, BrianKlein, CornelHelfert, Markus2019-08-192019-08-192019-05978-989-758-373-5https://doi.org/10.5220/0007717101230130http://hdl.handle.net/11654/27849https://doi.org/10.26041/fhnw-1769The electrification of the global energy system and the shift towards distributed power production from sus- tainable sources triggers an increased network capacity demand at times of high production or consumption. Existing energy management solutions can help mitigate resulting high costs of large-scale physical grid rein- forcement, but often interfere in customer processes or restrict free access to the energy market. In a preceding paper, we proposed the RLS regional load shaping approach as a novel business model and load management solution in middle voltage grid to resolve this dilemma: market-based incentives for all stakeholders are pro- vided to allow for flexible loads that are non-critical in customer processes to be allocated to the unused grid capacity traditionally reserved for N-1 security of supply. We provide a validation of the technical aspects of the approach, with an evaluation of the day-ahead load forecasting method for industry customers and a load optimization heuristics. The latter is tested by a simulation run on a scenario of network branch with provoked capacity bottlenecks. The method handles all provoked critical network capacity situations as expected.enSmart GridPower GridGrid CapacityGrid ReinforcementLoad PredictionLoad Management004 - Computer Wissenschaften, Internet620 - Ingenieurwissenschaften und Maschinenbau04B - Beitrag Konferenzschrift123-130