Open access
Aug 2026
Long-Life IoT Sensing and AI-Supported Analytics for Smart District Heating: Lessons from the LoLiPoP-IoT Project
This paper identifies the technical and organisational conditions required before AI-enabled district heating optimisation can be reliably implemented and proposes a layered architecture that connects energy-harvesting sensors, data acquisition, local preprocessing, AI-assisted interpretation, and human-centred decision support.
G. Kalsi, Tomi Tuomaala, Ville Pitkäkangas et al.
· Journal of Artificial Intell... · 0 citations