[HTML][HTML] AI-big data analytics for building automation and management systems: a survey, actual challenges and future perspectives
In theory, building automation and management systems (BAMSs) can provide all the
components and functionalities required for analyzing and operating buildings. However, in …
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
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 …
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
The efficiency, flexibility, and resilience of building-integrated energy systems are
challenged by unpredicted changes in operational environments due to climate change and …
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 …
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 …
whose share in energy production is expected to further increase. A key challenge for …
[HTML][HTML] A state-of-art-review on machine-learning based methods for PV
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 …
applications in several applicative fields effectively changing our daily life. In this scenario …
[HTML][HTML] A survey of applications of artificial intelligence and machine learning in future mobile networks-enabled systems
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 …
recent years. These fields reap benefits of data collected by Internet of Things (IoT) in next …
Development of photovoltaic-electrolyzer-fuel cell system for hydrogen production and power generation
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 …
necessary. Hydrogen is considered as the future of green energy because it is not only a …
[HTML][HTML] A taxonomy of machine learning applications for virtual power plants and home/building energy management systems
A Virtual power plant is defined as an information and communications technology system
with the following primary functionalities: enhancing renewable power generation …
with the following primary functionalities: enhancing renewable power generation …
[HTML][HTML] Introducing the Open Energy Ontology: Enhancing data interpretation and interfacing in energy systems analysis
M Booshehri, L Emele, S Flügel, H Förster, J Frey… - Energy and AI, 2021 - Elsevier
Heterogeneous data, different definitions and incompatible models are a huge problem in
many domains, with no exception for the field of energy systems analysis. Hence, it is hard to …
many domains, with no exception for the field of energy systems analysis. Hence, it is hard to …