Results 31 to 40 of about 137,935 (294)

Fuzzy Load Forecasting of Electric Power System

open access: yesJournal of Computers, 2012
In order to efficiently improve the prediction accuracy, two load forecasting model based on fuzzy theory are presented, which are fuzzy clustering model and improved fuzzy regression analysis model .The method of fuzzy clustering is used to divide the area by the similar feature of load increasing.
Yan Yan, Aimin Yang
openaire   +1 more source

Prediction and analysis of energy demand of high energy density AC/DC park based on spatial static load forecasting method

open access: yesThe Journal of Engineering, 2019
The fast economic development of China in recent years is raising demand for construction of AC/DC power supply park with high power consumption density. This correspondingly requires grid to forecast the load of these AC/DC power supply park to be built.
Xiang Xiao   +5 more
doaj   +1 more source

A short-term power load forecasting method for industrial sectors based on an improved correlation analysis

open access: yesZhejiang dianli, 2023
Accurate forecasting of short-term power load for industrial sectors plays a pivotal role in ensuring the safe and economic operation of regional power grids. To address this critical need, a short-term power load forecasting model in industries based on
YU Yinshu   +4 more
doaj   +1 more source

Short-Term Load Forecasting Based on Complementary Ensemble Empirical Mode Decomposition and Long Short-Term Memory

open access: yesZhongguo dianli, 2020
With the continuous development of power industry, the importance of load forecasting is becoming more and more obvious. As an important part of load forecasting, short-term load forecasting is of great significance to the dispatching and operation of ...
Huiru ZHAO, Yihang ZHAO, Sen GUO
doaj   +1 more source

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

open access: yesEnergy 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   +4 more
doaj   +1 more source

Ship power load forecasting based on PSO-SVM

open access: yesMathematical 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   +2 more
openaire   +4 more sources

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

open access: yesGlobal 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   +5 more
doaj   +1 more source

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

open access: yesE3S 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   +6 more
doaj   +1 more source

Evaluating load balancing policies for performance and energy-efficiency [PDF]

open access: yes, 2016
Nowadays, more and more increasingly hard computations are performed in challenging fields like weather forecasting, oil and gas exploration, and cryptanalysis.
Berg, Freek van den   +2 more
core   +4 more sources

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

open access: yesDiscrete 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

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