Battery state of health estimate strategies: from data analysis to end-cloud collaborative framework

K Yang, L Zhang, Z Zhang, H Yu, W Wang, M Ouyang… - Batteries, 2023 - mdpi.com
Lithium-ion batteries have become the primary electrical energy storage device in
commercial and industrial applications due to their high energy/power density, high …

British wind farm ESS attachments: curtailment reduction vs. price arbitrage

J Atherton, J Akroyd, F Farazi, S Mosbach… - Energy & …, 2023 - pubs.rsc.org
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 …

Research review of the knowledge graph and its application in power system dispatching and operation

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 …

Machine learning and data science in chemical engineering

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 …

[HTML][HTML] Dynamic knowledge graph approach for modelling the decarbonisation of power systems

W Xie, F Farazi, J Atherton, J Bai, S Mosbach, J Akroyd… - Energy and AI, 2024 - Elsevier
This paper presents a dynamic knowledge graph approach that offers a reusable,
interoperable, and extensible framework for modelling power systems. Domain ontologies …

[PDF][PDF] Semantic 3D City Inferences–Multi-domain Reasoning on Dynamic Geospatial Knowledge Graphs

A Chadzynski, H Silvennoinen, A Grisiute… - c4e-Preprint …, 2023 - researchgate.net
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 …

[PDF][PDF] Knowledge Graph for Low Carbon Power and Energy Systems

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 …

Research on the Association between Energy Consumption and Carbon Emissions Based on Knowledge Graph

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 …