Opportunities for Machine Learning in District Heating

The district heating (DH) industry is facing an important transformation towards more efficient networks that utilise significantly lower water temperatures to distribute the heat. This change requires taking advantage of new technologies, and Machine Learning (ML) a popular direction. In last decade, we have witnessed extreme growth in number published research papers focus on applying ML techniques DH domain. However, based our experience field, extensive review state-of-the-art, perceive mismatch between most directions, such as forecasting, challenges faced by industry. this work, present findings, explain demonstrate key gaps two communities suggest road-map ahead increasing impact