Results 21 to 30 of about 180,214 (295)

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

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

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

Load forecasting of supermarket refrigeration [PDF]

open access: yesApplied Energy, 2016
This paper presents a study of models for forecasting the electrical load for supermarket refrigeration. The data used for building the models consists of load measurements, local climate measurements and weather forecasts. The load measurements are from a supermarket located in a village in Denmark.
Rasmussen, Lisa Buth   +5 more
openaire   +3 more sources

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

Application of a hybrid of least square support vector machine and artificial bee colony for building load forecasting [PDF]

open access: yes, 2016
Accurate load forecasting is an important element for proper planning and management of electricity production. Although load forecasting has been an important area of research, methods for accurate load forecasting is still scarce in the literature ...
Abdul Rahman, H.   +5 more
core   +2 more sources

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

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