Results 21 to 30 of about 29,272 (313)

Electrical Load Forecasting [PDF]

open access: yesWIT Transactions on Ecology and the Environment, 2010
Some long-term design activities are based on electrical load forecasting. Forecasting errors result in the wrong decisions being made in the future. At present there are three widely used methods of forecasting: the method based on enlarged specific indexes (ESI), the econometric method and the self-sufficient method.
Eroshenko, S. A.   +2 more
openaire   +3 more sources

Load forecasting method considering temperature effect for distribution network

open access: yesMATEC Web of Conferences, 2016
To improve the accuracy of load forecasting, the temperature factor was introduced into the load forecasting in this paper. This paper analyzed the characteristics of power load variation, and researched the rule of the load with the temperature change ...
Meng Xiao Fang   +3 more
doaj   +1 more source

Review of Family-Level Short-Term Load Forecasting and Its Application in Household Energy Management System

open access: yesEnergies, 2023
With the rapid development of smart grids and distributed energy sources, the home energy management system (HEMS) is becoming a hot topic of research as a hub for connecting customers and utilities for energy visualization.
Ping Ma   +4 more
doaj   +1 more source

A short-term load forecasting taking into account the correlation of integrated energy load [PDF]

open access: yesE3S Web of Conferences, 2020
This paper proposes a short-term load forecasting method that takes into account the correlation of integrated energy load. The method use wavelet packet to decompose the electric cooling and heating load in frequency bands, analyze the cross-correlation
Qi Xianjun, Chen Qinghui, Zheng Xiwei
doaj   +1 more source

A Study on Load Forecasting of Distribution Line Based on Ensemble Learning for Mid- to Long-Term Distribution Planning

open access: yesEnergies, 2022
The complexity and uncertainty of the distribution system are increasing as the connection of distributed power sources using solar or wind energy is rapidly increasing, and digital loads are expanding. As these complexity and uncertainty keep increasing
Jintae Cho   +5 more
doaj   +1 more source

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

open access: yesEnergies, 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   +3 more
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 ZÄ…bkowski
doaj   +1 more source

A novel forward operator-based Bayesian recurrent neural network-based short-term net load demand forecasting considering demand-side renewable energy

open access: yesFrontiers in Energy Research, 2022
Currently, traditional electricity consumers are now shifting to a new role of prosumers since more integration of renewable energy to demand side. Accurate short-term load demand forecasting is significant to safe, stable, and reliable operation of a ...
Jiying Wen   +3 more
doaj   +1 more source

Point-Interval Forecasting for Electricity Load Based on Regular Fluctuation Component Extraction

open access: yesEnergies, 2023
The fluctuation and uncertainty of the electricity load bring challenges to load forecasting. Traditional point forecasting struggles to avoid errors, and pure interval forecasting may cause the problem of too wide an interval.
Bilin Shao, Zixuan Yao, Yifan Qiang
doaj   +1 more source

Forecast electricity demand in commercial building with machine learning models to enable demand response programs

open access: yesEnergy and AI, 2022
Electricity load forecasting is an important part of power system dispatching. Accurately forecasting electricity load have great impact on a number of departments in power systems.
Fabiano Pallonetto   +2 more
doaj   +1 more source

Home - About - Disclaimer - Privacy