Energy storage systems (ESSs) are a potential solution to the rising issues of electricity price volatility and curtailment of British wind energy. This study performs an extensive and …
J Chen, G Lu, Z Pan, T Yu, M Ding… - Frontiers in Energy …, 2022 - frontiersin.org
With the construction of a new power system and the proposal of a double carbon goal, power system operation data are growing explosively, and the optimization of power system …
H Gao, LT Zhu, ZH Luo, MA Fraga… - Industrial & Engineering …, 2022 - ACS Publications
Chemical engineering is a data-rich subject. Practitioners collect and analyze data for understanding flow patterns, developing empirical models, designing and optimizing …
This paper presents a dynamic knowledge graph approach that offers a reusable, interoperable, and extensible framework for modelling power systems. Domain ontologies …
This paper presents revised novel semantic web systems reference architecture for inferences and components that can store and operate on knowledge in the form of a fully …
Z Liu, L Li, L Fu, J Li, T Sun, X Wang - Energy - researchgate.net
Knowledge graph, originated from Semantic Web technology, is an emerging technology in the field of artificial intelligence (AI). As miscellaneous data and knowledge accumulate in …
F Yang, X Tian, W Zhang, J Luo… - 2023 International …, 2023 - ieeexplore.ieee.org
This paper proposes a knowledge feature extraction method for energy consumption and carbon emissions from multiple sources of heterogeneous data in key energy-using …