Results 1 to 10 of about 5,621 (256)

A Short-Term Load Forecasting Method Using Integrated CNN and LSTM Network

IEEE Access, 2021
In this study, a new technique is proposed to forecast short-term electrical load. Load forecasting is an integral part of power system planning and operation.
Shafiul Hasan Rafi, Nahid-Al-Masood, Shohana Rahman Deeba, Eklas Hossain   +3 more
doaj   +3 more sources

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

IEEE 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, Ganglong Fan, Guofang Kuang, Yanping Song   +3 more
doaj   +3 more sources

Short-term power load forecasting based on the CEEMDAN-TCN-ESN model. [PDF]

PLoS ONE, 2023
Ensuring an adequate electric power supply while minimizing redundant generation is the main objective of power load forecasting, as this is essential for the power system to operate efficiently.
Jiacheng Huang, Xiaowen Zhang, Xuchu Jiang   +2 more
doaj   +2 more sources

Short-term power load forecasting method based on Bagging-stochastic configuration networks. [PDF]

PLoS ONE
Accurate short-term load forecasting is of great significance in improving the dispatching efficiency of power grids, ensuring the safe and reliable operation of power grids, and guiding power systems to formulate reasonable production plans and reduce ...
Xinfu Pang, Wei Sun, Haibo Li, Wei Liu, Changfeng Luan   +4 more
doaj   +2 more sources

Short-term power load forecasting based on gray relational analysis and support vector machine optimized by artificial bee colony algorithm [PDF]

PeerJ Computer Science, 2022
Short-term power load forecasting is essential in ensuring the safe operation of power systems and a prerequisite in building automated power systems.
Xinfu Pang, Wei Sun, Haibo Li, Yibao Wang, Changfeng Luan   +4 more
doaj   +3 more sources

Short-Term Power Load Forecasting: An Integrated Approach Utilizing Variational Mode Decomposition and TCN–BiGRU

Energies, 2023
Accurate short-term power load forecasting is crucial to maintaining a balance between energy supply and demand, thus minimizing operational costs. However, the intrinsic uncertainty and non-linearity of load data substantially impact the accuracy of ...
Zhuoqun Zou, Jing Wang, Ning E, Can Zhang, Zhaocai Wang, Enyu Jiang   +5 more
doaj   +3 more sources

A hybrid LSTM-transformer model for short-term urban electricity load forecasting: a two-city case study [PDF]

Scientific Reports
Accurate short-term urban power load forecasting is crucial for power system dispatching, peak load management, and data-driven urban energy planning.
Hongli Liu, Yang Wei, Han Zhang, Yang Wang, Jie Zhang, Zhongqiang Luo   +5 more
doaj   +2 more sources

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 power load forecasting based on I-GWO-KELM algorithm [PDF]

MATEC Web of Conferences, 2021
In this paper, I-GWO-KELM algorithm is used for short-term power load forecasting. Normalize the power data and meteorological data of the short-term power load, and use GWO to optimize the regularization coefficient of KELM and the RBF kernel parameters.
Chen Xiaoyu, Dong Xiangli, Shi Li
doaj   +1 more source