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G. Kalsi

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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. · 0 citations

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