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Towards Nearly Zero-Energy Buildings (NZEB) Based on Edge Artificial Intelligence (EAI)

Year: 2025

Type: conference-paper

Abstract: Buildings account for a significant share of global energy consumption, necessitating innovative approaches for energy conservation and efficiency. Energy retrofitting faces two key challenges: the pre-bound effect, where actual consumption is lower than predicted, and the rebound effect, where post-retrofit usage increases due to behavioral changes. This paper proposes an Edge Artificial Intelligence (EAI)-driven approach to improve energy efficiency by integrating sensor networks, data mining, and intelligent modeling. The Fuzzy Experts program is extended to develop a smart platform that assesses building deficiencies and provides tailored solutions to enhance energy performance, supporting the transition to Nearly Zero-Energy Buildings (NZEBs).

DOI: 10.63438/axfc1849

Authors: V.G. Mpelogianni, Peter Groumpos, D Tsipianitis, Aimilia Papagiannaki, John Gionas, Stelios Koutroubinas

Language: English

Topic: Building Energy and Comfort Optimization

Subfield: Building and Construction

Field: Engineering

Domain: Physical Sciences

SDGs: Affordable and clean energy, Climate action, Industry, innovation and infrastructure, Sustainable cities and communities

Open Access status: gold

OpenAlex ID: W4409545035

FWCI:

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Related to: 10