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 …
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 …
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 …
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 …
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 …
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 …
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 …
A Virtual power plant is defined as an information and communications technology system with the following primary functionalities: enhancing renewable power generation …
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 …