Energy optimization of building IoT infrastructures in a stratified way
Published in International SINERGY Conference on Smart and Innovative eNERGY management, 2023
The project “energy oPtimization of building Internet Of Things Infrastructures in a Stratified way” presented a holistic approach for an AI-enabled EMS for building-level energy management and maximizing the available renewable energy sources utilization. Specifically, the solution integrated a PV generation forecasting module, a building energy demand forecasting module, and an energy task scheduling and optimization component. This paper presents the methodology and preliminary results regarding the PV generation forecasting and energy task scheduling modules tested for the premises of Institute Mihajlo Pupin.
Recommended citation: 2023, S. Chadoulos, S. Athanasoulias, S. Kalogridis, N. Ipiotis, O. Diamantopoulos, I. Koutsopoulos and G. Polyzos, "Energy Optimization of Building IoT Infrastructures in a Stratified Way", International SINERGY Conference on Smart and Innovative eNERGY management, Accepted
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