Techno-economic design optimization of hybrid renewable energy
This study aims to explore the techno-economic feasibility of renewable energy systems for power supply to high-rise
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) Physics-Informed Neural Networks (PINNs) to seamlessly embed physical laws within. 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) Physics-Informed Neural Networks (PINNs) to seamlessly embed physical laws within. In this paper, we present an optimization planning method for enhancing power quality in integrated energy systems in large-building m...

This study aims to explore the techno-economic feasibility of renewable energy systems for power supply to high-rise
The Smart Buildings and Hybrid Energy Systems application area emphasises a holistic approach on the built environment,
Abstract and Figures This paper provides a comprehensive review of hybrid energy systems (HESs), focusing on
Abstract Integrating electric technologies such as photovoltaics (PV), energy storage, heat pumps, and electric vehicle
Hybrid energy systems physically or conceptually combine various energy generation, storage, and/or conversion
This study constructed a holistic, intelligent, and high-efficiency hybrid solar energy system based on AI-driven solar
There is a growing interest in increasing the penetration rate of renewable energy systems due to the drawbacks
A systematic literature review analyzed studies and case reports from 2010 to 2023, focusing on ML applications like
A novel distributed energy system combining hybrid energy storage and a multi-objective optimization method for
Hybridization is an interesting energy sector solution for plants to expand their flexibility, optimize revenues, and/or develop other
This study presents an innovative hybrid energy system integrating wind power and gas turbines for a four-story, 16
This study proposes an optimal design method for configuring parameters of hybrid energy systems, integrating
This systematic review and meta-analysis critically evaluates artificial intelligence (AI) applications for energy
It compares and discusses the potential benefits and challenges of various hybrid HP-DH systems against
A hybrid system, such as solar and wind, may be more successful than nonhybrid systems in accelerating the
The advancement of smart grid technologies necessitates the integration of cutting-edge computational methods to
This paper elaborates current research trends, limitations, and open issues, and provides a foundational base for future
Abstract Recognizing the importance of integrated energy storage systems in improving the reliability of renewable
The integration of advanced control strategies into building energy management systems (BEMS) is essential for
Hybrid, renewable energy systems in buildings combine multiple energy sources, storage technologies, and control
This study presents an integrated approach to optimizing energy use in smart building systems and smart grids by
Machine learning (ML) has emerged as a transformative force in smart building management due to its ability to
This paper presents an integrated energy management solution for solar-powered smart buildings, combining a
The review concludes with recommendations for AI-integrated real-time control, modular and scalable HRES design,
The increasing demand for energy-efficient and sustainable solutions in the building sector has driven the need for
The potential benefits of an energy management system that integrates solar power forecasting, demand-side
This paper aims to provide an updated literature review of design and applications of hybrid energy systems in buildings, focusing on
With the aims of constructing zero-energy buildings with an improved power quality and accelerating the transition to
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