Results 11 to 20 of about 5,698 (257)

Fusion Forecasting Algorithm for Short-Term Load in Power System

Energies
Short-term load forecasting plays an important role in power system scheduling, optimization, and maintenance, but no existing typical method can consistently maintain high prediction accuracy.
Tao Yu, Ye Wang, Yuchong Zhao, Gang Luo, Shihong Yue   +4 more
doaj   +2 more sources

Short-Term Power Load Forecasting Based on DPSO-LSSVM Model

IEEE Access
The accurate prediction of short-term power load is a critical element for maintaining the normal and stable operation of the power system. For short-term power load forecasting, the collected power load data is preprocessed to quantify temperature ...
Shujun Ji, Linhao Zhang, Jinteng Wang, Tao Wei, Jiadong Li, Bu Ling, Jinglong Xu, Zuoping Wu   +7 more
doaj   +2 more sources

Short Term Load Forecasting of Power System [PDF]

Proceedings of the 2nd International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2017), 2017
In order to ensure the scientific nature of optimization about power system, it is necessary to improve the load forecasting accuracy. Power system load forecasting is based on accurate statistical data and survey data, starting from the history and current situation of electricity consumption, with a scientific method to predict the future development
  +6 more sources

Research on short-term power load forecasting based on VMD and GRU. [PDF]

PLoS One
The traditional method for power load forecasting is susceptible to various factors, including holidays, seasonal variations, weather conditions, and more. These factors make it challenging to ensure the accuracy of forecasting results. Additionally, there is a limitation in extracting meaningful physical signs from power data, which ultimately reduces
Sun H, Yu Z, Zhang B.
europepmc   +4 more sources

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

Zhongguo 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

A Novel Hybrid Method for Short-Term Power Load Forecasting [PDF]

Journal of Electrical and Computer Engineering, 2016
Influenced by many uncertain and random factors, nonstationary, nonlinearity, and time-variety appear in power load series, which is difficult to forecast accurately. Aiming at locating these issues of power load forecasting, an innovative hybrid method is proposed to forecast power load in this paper.
Yuansheng Huang, Shenhai Huang, Jiayin Song   +2 more
openaire   +2 more sources

Short-term Load Forecasting Based On Variational Mode Decomposition And Chaotic Grey Wolf Optimization Improved Random Forest Algorithm

Journal of Applied Science and Engineering, 2022
To enrich short-term load forecasting methods and improve forecasting accuracy, a short-term load forecasting method based on variational mode decomposition and chaotic grey wolf optimization (CGWO) improved random forest (RF) is proposed.
Fan Wang, Chen Chen, Haitao Zhang, Youhua Ma   +3 more
doaj   +1 more source

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

Alexandria 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, Carlo Cattani, Wanqing Song, Enrico Zio   +3 more
doaj   +1 more source

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

Energies, 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

Short term power load forecasting using Deep Neural Networks [PDF]

2017 International Conference on Computing, Networking and Communications (ICNC), 2017
Accurate load forecasting greatly influences the planning processes undertaken in operation centres of energy providers that relate to the actual electricity generation, distribution, system maintenance as well as electricity pricing. This paper exploits the applicability of and compares the performance of the Feed-forward Deep Neural Network (FF-DNN ...
Ghulam Mohi Ud Din, Angelos K. Marnerides   +1 more
openaire   +2 more sources