Results 41 to 50 of about 9,504 (261)

Ship power load forecasting based on PSO-SVM

Mathematical Biosciences and Engineering, 2022
<abstract> <p>Compared with the land power grid, power capacity of ship power system is small, its power load has randomness. Ship power load forecasting is of great significance for the stability and safety of ship power system. Support vector machine (SVM) load forecasting algorithm is a common method of ship power load forecasting.
Xiaoqiang Dai, Kuicheng Sheng, Fangzhou Shu   +2 more
openaire   +4 more sources

Short-term power load probabilistic interval multi-step forecasting based on ForecastNet

Energy Reports, 2022
Many uncertain factors to the planning and distribution of the power grid have been brought by connecting to the distributed power grid and increasing active loads.
Yupeng Li, Xifeng Guo, Ye Gao, Baolong Yuan, Shoujin Wang   +4 more
doaj   +1 more source

Application of Chaos and Neural Network in Power Load Forecasting [PDF]

Discrete Dynamics in Nature and Society, 2011
This paper employs chaos theory into power load forecasting. Lyapunov exponents on chaos theory are calculated to judge whether it is a chaotic system. Delay time and embedding dimension are calculated to reconstruct the phase space and determine the structure of artificial neural network (ANN). Improved back propagation (BP) algorithm based on genetic
Li Li, Liu Chong-xin
openaire   +3 more sources

A comprehensive review for wind, solar, and electrical load forecasting methods

Global Energy Interconnection, 2022
Wind power, solar power, and electrical load forecasting are essential works to ensure the safe and stable operation of the electric power system. With the increasing permeability of new energy and the rising demand response load, the uncertainty on the ...
Han Wang, Ning Zhang, Ershun Du, Jie Yan, Shuang Han, Yongqian Liu   +5 more
doaj   +1 more source

Power Load Forecasting Model Based on Grey Neural Network Regression Combination [PDF]

E3S Web of Conferences, 2020
Due to the limitations of a single power load forecasting model, the power load forecasting cannot be performed well. In order to obtain a greater closeness to predict results with actual data, this paper presents the power load forecasting model based ...
Ma Guozhen, Pang Ning, Zhang Zeya, Wang Yongli, Liu Chen, Yao Suhang, Tao Siyi   +6 more
doaj   +1 more source

A review of research on spatial-temporal forecasting of power load based on spatial-temporal data mining

International Journal of Electrical Power & Energy Systems
Lately, in the context of global energy crisis and economic recovery after the COVID-19 epidemic, the contradiction between power supply and demand has become more prominent, showing a tight balance.
Zhanshuo Hu, Pengfei Zhang, Jianning Cai, Hengyu Liu, Gaohan Wang, Zhe Chen   +5 more
doaj   +1 more source

Electrical Load Forecasting Models for Different Generation Modalities: A Review

IEEE Access, 2021
The intelligent management of power in electrical utilities depends on the high significance of load forecasting models. Since the industries are digitalized, power generation is supported by a variety of resources. Therefore, the forecasting accuracy of
Abdul Azeem, Idris Ismail, Syed Muslim Jameel, V. R. Harindran   +3 more
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Fuzzy Load Forecast with Optimized Parametric Adjustment Using Jaya Optimization Algorithm

International Journal of Computational Intelligence Systems, 2020
This paper proposes an advanced fuzzy load forecast method optimized by modified Jaya optimization (MJO) algorithm. MATLAB® platform is used to implement the proposed hybrid Fuzzy-MJO load forecasting algorithm and to verify the outperforming features of
Ho Pham Huy Anh, Ho Pham Huy Anh
doaj   +1 more source

Optimization for Electric Power Load Forecast

International Journal of Electrical and Computer Engineering (IJECE), 2018
Load flow studies are one of the most important aspects of power system planning and operation. The main information obtained from this study comprises the magnitudes and phase angles of load bus voltages, reactive powers at generators buses, real and reactive power flow on transmission lines, other variables being known.
I. A. Ethmane, M. Maaroufi, A. K. Mahmoud, A. Yahfdhou   +3 more
openaire   +3 more sources

Short-Term Load Forecasting Based on the CEEMDAN-Sample Entropy-BPNN-Transformer

Energies, 2022
Aiming at the problem that power load data are stochastic and that it is difficult to obtain accurate forecasting results by a single algorithm, in this paper, a combined forecasting method for short-term power load was proposed based on the Complete ...
Shichao Huang, Jing Zhang, Yu He, Xiaofan Fu, Luqin Fan, Gang Yao, Yongjun Wen   +6 more
doaj   +1 more source