Results 31 to 40 of about 108,466 (288)

Short-Term Electric Load Forecasting Based on a Neural Fuzzy Network [PDF]

, 2003
Electric load forecasting is essential to improve the reliability of the ac power line data network and provide optimal load scheduling in an intelligent home system.
Lam, HK, Leung, FHF, Ling, SH, Tam, PKS
core   +1 more source

A Deep Learning Framework for Short-term Power Load Forecasting

CoRR, 2017
8 pages, 8 ...
Tinghui Ouyang, Yusen He, Huajin Li, Zhiyu Sun, Stephen Baek   +4 more
openaire   +2 more sources

A Weekend Load Forecasting Model Based on Semi-Parametric Regression Analysis Considering Weather and Load Interaction

Energies, 2019
Compared to the load characteristics of normal working days, weekend load characteristics have a low level of load and are sensitive to meteorological conditions, which influences the accuracy of short-term weekend-load forecasting. To solve this problem
Bin Li, Mingzhen Lu, Yiyi Zhang, Jia Huang   +3 more
doaj   +1 more source

Multivariate Adaptive Step Fruit Fly Optimization Algorithm Optimized Generalized Regression Neural Network for Short-Term Power Load Forecasting

Frontiers in Environmental Science, 2022
Short-term load forecasting plays a significant role in the management of power plants. In this paper, we propose a multivariate adaptive step fruit fly optimization algorithm (MAFOA) to optimize the smoothing parameter of the generalized regression ...
Feng Jiang, Wenya Zhang, Zijun Peng
doaj   +1 more source

Short term Load Forecasting Considering Demand Response under virtual power plant mode [PDF]

E3S Web of Conferences, 2021
In order to better manage demand response resources of user side and reduce short-term load forecasting error, a short-term load forecasting method considering demand response in virtual power plant mode is proposed.
Du Zhendong, Wu Di, Bai Hua, Wang Zhengyong, Guo Yizong, Guo Chuangxin   +5 more
doaj   +1 more source

Research on short-term power load forecasting based on deep reinforcement learning with multiple intelligences

EAI Endorsed Transactions on Energy Web
A reliable supply of power systems is critical for industry, commerce, and residential life. Improving the accuracy and reliability of short-term electricity load forecasting plays a crucial role in ensuring the satisfaction of electricity demand and ...
Tianyun Luo, Dunlin Zhu, Jinming Liu, Sheng Yang, Jinglong He, Yuan Fu   +5 more
doaj   +1 more source

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

Energies, 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, Wei-Zhen Zheng, Jian-Lei Kong, Xiao-Yi Wang, Yu-Ting Bai, Ting-Li Su, Seng Lin   +6 more
doaj   +1 more source

Short-term power demand forecasting using the differential polynomial neural network [PDF]

, 2015
Power demand forecasting is important for economically efficient operation and effective control of power systems and enables to plan the load of generating unit.
Zjavka, Ladislav
core   +2 more sources

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

Energy 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

Load Forecasting Based Distribution System Network Reconfiguration-A Distributed Data-Driven Approach

, 2017
In this paper, a short-term load forecasting approach based network reconfiguration is proposed in a parallel manner. Specifically, a support vector regression (SVR) based short-term load forecasting approach is designed to provide an accurate load ...
Gu, Yi, Jiang, Huaiguang, Muljadi, Eduard, Solis, Francisco J., Zhang, Jun Jason, Zhang, Yingchen   +5 more
core   +1 more source