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Zhigao Wang, Zhi Geng, Xia Fang, Qianqian Tian, Xinsheng Lan and Jie Feng
In the past, planning to develop an electricity generation capacity supply of consumable load, an acceptable level of reliability, and minimum cost has played significant roles. Due to technological development in energy and the support of energy policym...
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Sirote Khunkitti, Apirat Siritaratiwat and Suttichai Premrudeepreechacharn
Since the increases in electricity demand, environmental awareness, and power reliability requirements, solutions of single-objective optimal power flow (OPF) and multi-objective OPF (MOOPF) (two or three objectives) problems are inadequate for modern po...
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Zichao He, Chunna Zhao and Yaqun Huang
Multivariate time series forecasting has long been a subject of great concern. For example, there are many valuable applications in forecasting electricity consumption, solar power generation, traffic congestion, finance, and so on. Accurately forecastin...
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Anna Bakurova, Olesia Yuskiv, Dima Shyrokorad, Anton Riabenko, Elina Tereschenko
Pág. 14 - 22
The subject of the research is the methods of constructing and training neural networks as a nonlinear modeling apparatus for solving the problem of predicting the energy consumption of metallurgical enterprises. The purpose of this work is to develop a ...
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Siti Sendari,Mahfud Jiono,Markus Diantoro,Poppy Puspitasari,Heru Surjanto,Hadi Nur
Pág. pp. 16 - 28
Nowadays, one kind of promising energy is fuel cell technology, which produces electricity while hydrogen gas flows from anode to cathode through a membrane. A single fuel cell can be integrated in series as a fuel cell stack. It shows electro-chemical p...
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Petro Plieshkov,Valentyn Soldatenko,Vasyl Zinzura,Serhii Plieshkov
Pág. 77 - 82
This paper reports a solution to a relevant scientific task of determining the weight coefficients for an optimal system of automated control over the level of electric energy generation by renewable energy sources in a combined electric power system. It...
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Petro Plieshkov,Andrii Kotysh,Andrii Nekrasov
Pág. 35 - 45
This paper reports solving an important scientific task of minimizing the economic losses caused by the established deviation and the asymmetry of voltage in the distributing electrical networks with a rated voltage of 10 kV.It has been found that t...
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Thang Trung Nguyen, Ly Huu Pham, Fazel Mohammadi and Le Chi Kien
In this paper, a Modified Adaptive Selection Cuckoo Search Algorithm (MASCSA) is proposed for solving the Optimal Scheduling of Wind-Hydro-Thermal (OSWHT) systems problem. The main objective of the problem is to minimize the total fuel cost for generatin...
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Jing Zhang, Xiangpeng Zhan, Taoyong Li, Linru Jiang, Jun Yang, Yuanxing Zhang, Xiaohong Diao and Sining Han
The problem of electricity pricing for charging stations is a multi-objective mixed integer nonlinear programming. Existing algorithms have low efficiency in solving this problem. In this paper, a convex optimization algorithm is proposed to get the opti...
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Yosoon Choi, Jangwon Suh and Sung-Min Kim
In this study, geographic information system (GIS)-based methods and their applications in solar power system planning and design were reviewed. Three types of GIS-based studies, including those on solar radiation mapping, site evaluation, and potential ...
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