Results 31 to 40 of about 14,317 (308)

Short-term load forecasting with dense average network [PDF]

Expert Systems with Applications, 2021
Abstract As an important part of the power system, power load forecasting directly affects the national economy. Small improvements in power load forecasts can save millions of dollars for the power industry. Therefore, improving the accuracy of power load forecasting has always been the pursuing goal for a power system.
Zhifang Liao, Haihui Pan, Xuechun Huang, Ronghui Mo, Xiaoping Fan, Huanwen Chen, Limin Liu, Yan Li   +7 more
openaire   +1 more source

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

Short Term Load Forecasting Based Artificial Neural Network [PDF]

Iraqi Journal for Electrical and Electronic Engineering, 2014
Present study develops short term electric load forecasting using neural network; based on historical series of power demand the neural network chosen for this network is feed forward network, this neural network has five input variables ( hour of the ...
Adel M. Dakhil
doaj  

Short-Term Load Forecasting on Individual Consumers

Energies, 2022
Maintaining stability and control over the electric system requires increasing information about the consumers’ profiling due to changes in the form of electricity generation and consumption.
João Victor Jales Melo, George Rossany Soares Lira, Edson Guedes Costa, Antonio F. Leite Neto, Iago B. Oliveira   +4 more
doaj   +1 more source

Short-term multivariate time series load data forecasting at low-voltage level using optimised deep-ensemble learning-based models

, 2023
Increasing the renewable energy penetration, especially photovoltaic systems, requires accurate and short-term load forecasting for every individual electricity customer.
Ibrahim, Ibrahim Anwar, Ibrahim Anwar Ibrahim, Hossain, MJ, M.J. Hossain   +3 more
core   +1 more source

Short-Term Electrical Load Forecasting Based on Time Augmented Transformer

International Journal of Computational Intelligence Systems, 2022
Electrical load forecasting is of vital importance in intelligent power management and has been a hot spot in industrial Internet application field. Due to the complex patterns and dynamics of the data, accurate short-term load forecasting is still a ...
Guangqi Zhang, Chuyuan Wei, Changfeng Jing, Yanxue Wang   +3 more
doaj   +1 more source

A short-term power load forecasting method for industrial sectors based on an improved correlation analysis

Zhejiang 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, CHEN Donghai, ZHU Geng, HE Xu, BAI Wenbo   +4 more
doaj   +1 more source

A Short-Term Load Forecasting Method Based on Load Curve Clustering and Elastic Net Analysis

Zhongguo dianli, 2020
A short-term load forecasting method based on load characteristics clustering and elastic net analysis is proposed in this paper. By analyzing and clustering the historical load characteristics, the annual days are classified and its clusters are ...
Bingjie JIN, Yong LIN, Shuxin LUO, Bin WEI, Shucan ZHOU   +4 more
doaj   +1 more source

Soft computing based techniques for short-term load forecasting

, 2002
Neural networks are currently finding practical applications, ranging from 'soft' regulatory control in consumer products to accurate modelling of non-linear systems.
Anagnostakis, E.M., Kodogiannis, V.
core   +1 more source

Individualized Short-Term Electric Load Forecasting Using Data-Driven Meta-Heuristic Method Based on LSTM Network

Sensors, 2022
Short-term load forecasting is viewed as one promising technology for demand prediction under the most critical inputs for the promising arrangement of power plant units.
Lichao Sun, Hang Qin, Krzysztof Przystupa, Michal Majka, Orest Kochan   +4 more
doaj   +1 more source