Resource Optimization for Grid-Connected Smart Green Townhouses Using Deep Hybrid Machine Learning

Resource Optimization for Grid-Connected Smart Green Townhouses Using Deep Hybrid Machine Learning

This paper examines Connected Smart Green Townhouses (CSGTs) as a modern residential building model in Burnaby, British Columbia (BC). This model incorporates a wide range of sustainable materials and smart components such as recycled insulation, Photovoltaic (PV) solar panels, smart meters, and hig...

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Bibliographic Details
Main Authors: Seyed Morteza Moghimi, Thomas Aaron Gulliver, Ilamparithi Thirumarai Chelvan, Hossen Teimoorinia
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Energies
Subjects:
connected smart buildings
efficiency development
energy optimization
green buildings
machine learning
Online Access:https://www.mdpi.com/1996-1073/17/23/6201
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