Renewable Energy, Год журнала: 2025, Номер unknown, С. 122601 - 122601
Опубликована: Фев. 1, 2025
Язык: Английский
Renewable Energy, Год журнала: 2025, Номер unknown, С. 122601 - 122601
Опубликована: Фев. 1, 2025
Язык: Английский
IEEE Access, Год журнала: 2022, Номер 10, С. 15935 - 15955
Опубликована: Янв. 1, 2022
Community Microgrid offers effective energy harvesting from distributed resources and efficient consumption by employing an management system (EMS). Therefore, the collaborative microgrids are essentially required to apply EMS, underlying operative control strategy in order provide system. An EMS is apt optimize operation of several points view. Optimal production planning, optimal demand-side management, fuel emission constraints, revenue trading spinning non-spinning reserve capacity can effectively be managed EMS. Consequently, importance optimization explicit microgrid applications. In this paper, most common strategies community with potential pros cons analyzed. Moreover, a comprehensive review single objective multi-objective methods performed considering practical technical uncertainty, intermittency renewable energies sources. The Pareto-optimal solution as popular approach investigated for advanced algorithms. Eventually, feature selection neural network-based clustering algorithms analyze set introduced.
Язык: Английский
Процитировано
99Applied Energy, Год журнала: 2023, Номер 340, С. 121034 - 121034
Опубликована: Апрель 4, 2023
Язык: Английский
Процитировано
60IEEE Access, Год журнала: 2023, Номер 11, С. 119596 - 119633
Опубликована: Янв. 1, 2023
As power systems evolve by integrating renewable energy sources, distributed generation, and electric vehicles, the complexity of managing these increases. With increase in data accessibility advancements computational capabilities, clustering algorithms, including K-means, are becoming essential tools for researchers analyzing, optimizing, modernizing systems. This paper presents a comprehensive review over 440 articles published through 2022, emphasizing application K-means clustering, widely recognized frequently used algorithm, along with its alternative methods within modern The main contributions this study include bibliometric analysis to understand historical development wide-ranging applications research also thoroughly examines various variants, potential limitations, advantages. Furthermore, explores algorithms that can complete or substitute K-means. Some prominent examples K-medoids, Time-series BIRCH, Bayesian HDBSCAN, CLIQUE, SPECTRAL, SOMs, TICC, swarm-based methods, broadening understanding methodologies highlights techniques, from load forecasting fault detection quality system security assessment. Throughout examination, it has been observed number publications employing is following an exponential upward trend. emphasizes necessity professionals their benefits challenges, incorporate most suitable ones into studies.
Язык: Английский
Процитировано
51Journal of Building Engineering, Год журнала: 2024, Номер 88, С. 109138 - 109138
Опубликована: Март 30, 2024
Язык: Английский
Процитировано
17Energy Conversion and Management, Год журнала: 2022, Номер 254, С. 115203 - 115203
Опубликована: Янв. 6, 2022
Язык: Английский
Процитировано
64Energy Conversion and Management, Год журнала: 2022, Номер 254, С. 115260 - 115260
Опубликована: Янв. 22, 2022
Язык: Английский
Процитировано
62Energy Conversion and Management, Год журнала: 2022, Номер 263, С. 115677 - 115677
Опубликована: Май 11, 2022
Язык: Английский
Процитировано
60Energy, Год журнала: 2022, Номер 258, С. 124800 - 124800
Опубликована: Июль 15, 2022
Язык: Английский
Процитировано
54Energy, Год журнала: 2022, Номер 261, С. 125187 - 125187
Опубликована: Авг. 17, 2022
Язык: Английский
Процитировано
43Information Fusion, Год журнала: 2023, Номер 100, С. 101970 - 101970
Опубликована: Авг. 3, 2023
Язык: Английский
Процитировано
37