XAI4HEATDecoding Trust: XAI Interpretable Insights for Accurate Heat Demand ForecastingMachine Learning has already proven valuable in optimizing District Heating Systems (DHS), replacing basic control mechanisms based solely…Sep 7Sep 7
XAI4HEATGenie from the bottle: Transformer Models for Sequence Forecasting in industryDistrict Heating Systems (DHS) are a critical part of urban infrastructure, providing heat to homes and businesses. One of the key…May 28May 28
XAI4HEATMultivariate Outlier Detection: A Game Changer in Understanding Complex SystemsIn the world of industrial data analysis, outlier detection stands as a crucial technique for highlighting the irregularities, such as…Jan 242Jan 242
XAI4HEATWhen Less is More: How XGBoost Outshines LSTM in Energy ForecastingIn a world overhyped around the successes of the complex Deep Learning (DL) models, let’s turn our heads back to the old-school charm of…Jan 22Jan 22
XAI4HEATXAI4HEAT: Towards demand-driven, AI facilitated management of District Heating SystemsImagine a city where every home and business enjoys efficient, eco-friendly heating. That’s the promise of District Heating Systems (DHS)…Jan 22Jan 22