Results 11 to 20 of about 136,820 (296)

Adaboost-Based Power System Load Forecasting

open access: yesJournal of Physics: Conference Series, 2021
Abstract This study presented a penetrating insight into the basic principle of ensemble learning and the ensemble technique Boosting, and deduced the theoretical model and learning principle of the adaptive ensemble learning. Besides, it proposed a Adaboost-based power system load forecasting method, and validated the effectiveness of ...
WuNeng Ling   +6 more
openaire   +1 more source

Research on power load forecasting model of economic development zone based on neural network

open access: yesEnergy Reports, 2021
The power load forecasting model can calculate the predicted value accurately and quickly, which will be helpful to distribute the power reasonably and improve the stability of the power grid.
Qiming Feng, Suping Qian
doaj   +1 more source

Construction and Application of Short-Term and Mid-Term Power System Load Forecasting Model Based on Hybrid Deep Learning

open access: yesIEEE Access, 2023
Power system load forecasting model plays an important role in all aspects of power system planning, operation and control. Therefore, accurate power load forecasting provides an important guarantee for the stable operation of the power grid system. This
Hongsheng Xu   +3 more
doaj   +1 more source

Short-term power load interval forecasting based on nonparametric Bootstrap errors sampling

open access: yesEnergy Reports, 2022
Short-term power load forecasting plays a vital role in the planning of distribution network and the development of social economy. Many researchers have devoted their attention to construct point forecasting models.
Ling Xiao, Miaotong Li, Shenghui Zhang
doaj   +1 more source

Deep-Learning Forecasting Method for Electric Power Load via Attention-Based Encoder-Decoder with Bayesian Optimization

open access: yesEnergies, 2021
Short-term electrical load forecasting plays an important role in the safety, stability, and sustainability of the power production and scheduling process.
Xue-Bo Jin   +6 more
doaj   +1 more source

Fusion of Improved Sparrow Search Algorithm and Long Short-Term Memory Neural Network Application in Load Forecasting

open access: yesEnergies, 2021
Load forecasting (LF) is essential in enabling modern power systems’ safety and economical transportation and energy management systems. The dynamic balance between power generation and load in the optimization of power systems is receiving increasing ...
Gwo-Ching Liao
doaj   +1 more source

A Hybrid Double Forecasting System of Short Term Power Load Based on Swarm Intelligence and Nonlinear Integration Mechanism

open access: yesApplied Sciences, 2020
Accurate and reliable power load forecasting not only takes an important place in management and steady running of smart grid, but also has environmental benefits and economic dividends.
Ping Jiang, Ying Nie
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 Short-Term Residential Load Forecasting Model Based on LSTM Recurrent Neural Network Considering Weather Features

open access: yesEnergies, 2021
With economic growth, the demand for power systems is increasingly large. Short-term load forecasting (STLF) becomes an indispensable factor to enhance the application of a smart grid (SG).
Yizhen Wang, Ningqing Zhang, Xiong Chen
doaj   +1 more source

Power Load Forecasting Using BiLSTM-Attention

open access: yesIOP Conference Series: Earth and Environmental Science, 2020
Abstract With the development of big data and artificial intelligence, the applications of smart grid have received extensive attention. Specifically, accurate power system load forecasting plays an important role in the safety and stability of the power system production scheduling process.
Jie Du   +5 more
openaire   +1 more source

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