AI-big data analytics for building automation and management systems: a survey, actual challenges and future perspectives

Y Himeur, M Elnour, F Fadli, N Meskin, I Petri… - Artificial Intelligence …, 2023 - Springer
In theory, building automation and management systems (BAMSs) can provide all the
components and functionalities required for analyzing and operating buildings. However, in …

[HTML][HTML] Explainable Artificial Intelligence (XAI) techniques for energy and power systems: Review, challenges and opportunities

R Machlev, L Heistrene, M Perl, KY Levy, J Belikov… - Energy and AI, 2022 - Elsevier
Despite widespread adoption and outstanding performance, machine learning models are
considered as “black boxes”, since it is very difficult to understand how such models operate …

[HTML][HTML] An overview of machine learning applications for smart buildings

K Alanne, S Sierla - Sustainable Cities and Society, 2022 - Elsevier
The efficiency, flexibility, and resilience of building-integrated energy systems are
challenged by unpredicted changes in operational environments due to climate change and …

Demand side management in microgrid: A critical review of key issues and recent trends

D Kanakadhurga, N Prabaharan - Renewable and Sustainable Energy …, 2022 - Elsevier
In a deregulated power system, Demand Side Management (DSM) plays a vital role in
handling the uncertain renewable power generation and load. The flat load-profile can be …

Artificial intelligence to support the integration of variable renewable energy sources to the power system

P Boza, T Evgeniou - Applied Energy, 2021 - Elsevier
The power sector is increasingly relying on variable renewable energy sources (VRE)
whose share in energy production is expected to further increase. A key challenge for …

Development of photovoltaic-electrolyzer-fuel cell system for hydrogen production and power generation

F Zhang, B Wang, Z Gong, X Zhang, Z Qin, K Jiao - Energy, 2023 - Elsevier
To fulfil the aim of carbon neutrality, expanding the scale of renewable energy utilization is
necessary. Hydrogen is considered as the future of green energy because it is not only a …

[HTML][HTML] A survey of applications of artificial intelligence and machine learning in future mobile networks-enabled systems

İ Yazici, I Shayea, J Din - … Science and Technology, an International Journal, 2023 - Elsevier
Different fields have been thriving with the advents in mobile communication systems in
recent years. These fields reap benefits of data collected by Internet of Things (IoT) in next …

A state-of-art-review on machine-learning based methods for PV

GM Tina, C Ventura, S Ferlito, S De Vito - Applied Sciences, 2021 - mdpi.com
In the current era, Artificial Intelligence (AI) is becoming increasingly pervasive with
applications in several applicative fields effectively changing our daily life. In this scenario …

Home energy management systems: A review of the concept, architecture, and scheduling strategies

B Han, Y Zahraoui, M Mubin, S Mekhilef… - IEEE …, 2023 - ieeexplore.ieee.org
Growing electricity demand, the deployment of renewable energy sources and the
widespread use of smart home appliances provide new opportunities for home energy …

A review of distributed energy system optimization for building decarbonization

X Zhu, X Zhang, P Gong, Y Li - Journal of Building Engineering, 2023 - Elsevier
Building energy consumption has increased rapidly in the past decade, in particular for heat
demand and electric vehicles, owning to the development of economy and improvement of …