Energy optimization of building IoT infrastructures in a stratified way

Spiros Chadoulos, Sotirios Athanasoulias, Stelios Kalogridis, Nikolaos Ipiotis, Odyssefs Diamantopoulos-Pantaleon, Iordanis Koutsopoulos, George C. Polyzos
September, 2023
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Image credit: SYNERGY

Abstract

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 max- imizing renewable energy sources utilization. The solution integrated a Photovoltaics (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.

Type
Conference paper
Publication
In Proceedings of the SYNERGY-2023 Conference on Smart and Innovative eNERGY management
PV generation forecasting Energy task scheduling
Odyssefs Diamantopoulos-Pantaleon
Odyssefs Diamantopoulos-Pantaleon
PhD Student

My research interests include Reinforcement Learning, Natural Language Processing, and Large Language Models. However, I always seek to expand my knowledge and embrace new opportunities.