Results 31 to 40 of about 9,504 (261)

Fractional ARIMA with an improved cuckoo search optimization for the efficient Short-term power load forecasting

open access: yesAlexandria Engineering Journal, 2020
Short-term power load forecasting plays a key role in power supply systems. Many methods have been used in short-term power load forecasting during the past years. A new short-term power load forecasting method is proposed in this study. First, the study
Fei Wu   +3 more
doaj   +1 more source

Grey correlation-oriented Random Forest and Particle Swarm Optimization Algorithm for Power Load Forecasting

open access: yesJournal of Applied Science and Engineering, 2021
Accurate power load prediction plays an important role in the design of power distribution equipment and distribution network. The traditional forecasting methods have problems with the low accuracy of power load forecasting and slow model training.
Xiao Xiong, Zengyong Xu, Yuxia Yuan
doaj   +1 more source

Electricity forecasting on the individual household level enhanced based on activity patterns. [PDF]

open access: yesPLoS ONE, 2017
Leveraging smart metering solutions to support energy efficiency on the individual household level poses novel research challenges in monitoring usage and providing accurate load forecasting.
Krzysztof Gajowniczek, Tomasz Ząbkowski
doaj   +1 more source

Power System Load Forecasting Method Based on Recurrent Neural Network [PDF]

open access: yesE3S Web of Conferences, 2020
Power system load forecasting plays an important role in the power dispatching operation. The development of the electricity market and the increasing integration of distributed generators have increased the complexity of power consumption model and put ...
Pang Chuanjun, Bao Tie, He Lei
doaj   +1 more source

On the impact of socio-economic factors on power load forecasting [PDF]

open access: yes2014 IEEE International Conference on Big Data (Big Data), 2014
In this paper, we analyze a public dataset of electricity consumption collected over 3,800 households for one year and half. We show that some socioeconomic factors are critical indicators to forecast households' daily peak (and total) load. By using a random forests model, we show that the daily load can be predicted accurately at a fine temporal ...
Han, Yufei   +3 more
openaire   +3 more sources

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

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

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

Demand-Side Electricity Load Forecasting Based on Time-Series Decomposition Combined with Kernel Extreme Learning Machine Improved by Sparrow Algorithm

open access: yesEnergies, 2023
With the rapid development of new power systems, power usage stations are becoming more diverse and complex. Fine-grained management of demand-side power load has become increasingly crucial.
Liyuan Sun   +5 more
doaj   +1 more source

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