Hybrid Energy Systems for Buildings: A Techno-Economic-Enviro
This paper aims to provide an updated literature review of design and applications of hybrid energy systems in buildings, focusing on economic, environmental, and technical viewpoints.
This study proposes a multi-faceted approach by incorporating (1) Deep Reinforcement Learning (DRL) agents trained using data from digital twins (DTs) to optimize energy consumption in real time, (2) ...
HOME / Energy-efficient hybrid energy system for smart buildings - MCF Cable Routing & Structured Cabling
This paper aims to provide an updated literature review of design and applications of hybrid energy systems in buildings, focusing on economic, environmental, and technical viewpoints.
This study presents an integrated approach to optimizing energy use in smart building systems and smart grids by combining Machine Learning (ML),
The construction sector and the building subsector remain among the least digitised. Smart buildings can contribute to reducing energy demand, curbing operational CO2 emissions, integrating RES and
This paper investigates combined renewable energy systems with the Internet of Things (IoT) and smart homes to increase efficiency, cost savings, and environmental sustainability.
As cities continue to grow and the demand for energy-efficient buildings escalates, this study could serve as a catalyst for future developments in sustainable construction technologies.
This study is directed towards evaluating the feasibility of Hybrid PINNs-DT system in regard to optimizing and integrating renewable power systems, such as solar and wind power, in smart
Sanaye and Sarrafi developed a hybrid energy system combining solar, wind, and LPG-fueled micro-CHP units for remote buildings, meeting 43.3 % of electrical and 43.6 % of heating
This study introduces a comprehensive method for managing hybrid renewable energy systems (HRES) in smart grid frameworks. The main focus is on advanced energy management
This paper aims to provide an updated literature review of design and applications of hybrid energy systems in buildings, focusing on economic,
The Smart Buildings and Hybrid Energy Systems application area emphasises a holistic approach on the built environment, sustainable energy solutions and hybrid energy systems. These include both
This study presents an integrated approach to optimizing energy use in smart building systems and smart grids by combining Machine Learning (ML), digital twin (DT) technology, and
Data-Driven Smart Building: A Data-Driven Smart Building is a building that uses digitalization technologies to dynamically optimize site energy use, in-door environment quality (IEQ) and