The project involves day-ahead forecasting which takes a model fit into historical data and predicts future demand of electricity. Time series forecasting methods are used as the dataset contains an e
Froid et chaleur - réseaux et hors réseaux G6-G8-G10-G12-G14-G16 - Livraison de chaleur en sous-station par les réseaux de chaleur - Tend, S1, S2, S3, S4
Table 1. Periods simulated with the WRF model. A spin-up of 7 h was considered for each run. Abstract Evaluation of built environment energy demand is necessary in
