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[HTML][HTML] A systematic review of machine learning techniques related to local energy communities
In recent years, digitalisation has rendered machine learning a key tool for improving
processes in several sectors, as in the case of electrical power systems. Machine learning …
processes in several sectors, as in the case of electrical power systems. Machine learning …
[HTML][HTML] Advancements in digital twin technology and machine learning for energy systems: A comprehensive review of applications in smart grids, renewable energy …
The growing interest in Digital Twin (DT) Technology represents a significant advancement
in academic research and industrial applications. Leveraging advancements in Internet of …
in academic research and industrial applications. Leveraging advancements in Internet of …
[HTML][HTML] Do uncertainties affect clean energy markets? Comparisons from a multi-frequency and multi-quantile framework
Clean energy market has great potential to promote the balance between economic
development and environmental protection, and has gradually become one of the vital …
development and environmental protection, and has gradually become one of the vital …
Convolutional neural network-based deep transfer learning for fault detection of gas turbine combustion chambers
Gas turbine combustion chambers work in highly adverse environment and thus malfunction
more easily compared to other components. Fault detection of gas turbine combustion …
more easily compared to other components. Fault detection of gas turbine combustion …
Modeling of energy consumption factors for an industrial cement vertical roller mill by SHAP-XGBoost: a" conscious lab" approach
Cement production is one of the most energy-intensive manufacturing industries, and the
milling circuit of cement plants consumes around 4% of a year's global electrical energy …
milling circuit of cement plants consumes around 4% of a year's global electrical energy …
Spatial-temporal recurrent graph neural networks for fault diagnostics in power distribution systems
Fault diagnostics are extremely important to decide proper actions toward fault isolation and
system restoration. The growing integration of inverter-based distributed energy resources …
system restoration. The growing integration of inverter-based distributed energy resources …
[HTML][HTML] A novel hybrid model combined with ensemble embedded feature selection method for estimating reference evapotranspiration in the North China Plain
H Zhou, L Ma, X Niu, Y **ang, J Chen, Y Su, J Li… - Agricultural Water …, 2024 - Elsevier
The reference evapotranspiration (ETo) is a key parameter in achieving sustainable use of
agricultural water resources. To accurately acquire ETo under limited conditions, this study …
agricultural water resources. To accurately acquire ETo under limited conditions, this study …
A comprehensive survey of HVDC protection system: fault analysis, methodology, issues, challenges, and future perspective
The extensive application of power transfer through high-voltage direct current (HVDC)
transmission links in smart grid scenarios is due to many factors such as high-power transfer …
transmission links in smart grid scenarios is due to many factors such as high-power transfer …
Data-driven modeling-based digital twin of supercritical coal-fired boiler for metal temperature anomaly detection
Z Cui, J Xu, W Liu, G Zhao, S Ma - Energy, 2023 - Elsevier
The flexible operation of coal-fired boilers deteriorates the heat transfer capacity of tubes,
leading to localized overheating, tube cracking, and even boiler failure. This study presents …
leading to localized overheating, tube cracking, and even boiler failure. This study presents …
A novel MODWT-based fault detection and classification scheme in VSC-HVDC transmission line
This paper proposes a protection scheme according to the transient wavelet energy of DC
pole's current signals by using an illustrative signal processing technique called maximum …
pole's current signals by using an illustrative signal processing technique called maximum …