Results 31 to 40 of about 180,214 (295)

Load Forecast Process

open access: yes, 2023
AbstractThe previous chapters have discussed all of the aspects of developing and testing a short term load forecast.
Stephen Haben   +2 more
openaire   +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

Analysis load forecasting of power system using fuzzy logic and artificial neural network [PDF]

open access: yes, 2017
Load forecasting is a vital element in the energy management of function and execution purpose throughout the energy power system. Power systems problems are complicated to solve because power systems are huge complex graphically widely distributed and ...
A Mostafa, Salama   +7 more
core   +1 more source

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

open access: yesIEEE 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   +3 more
doaj   +1 more source

FORECASTING HIGH-LOAD SYSTEMS

open access: yesEkonomìčnij Vìsnik Nacìonalʹnogo Tehnìčnogo Unìversitetu Ukraïni "Kiïvsʹkij Polìtehnìčnij Institut", 2021
In this article, analytical and prognostic model of the information system load was performed, which in metric terms is based on the number of requests to the system per second. The studied statistical data of this indicator outline the main trajectory of its time series, which allows to find patterns of the past and predict the ...
Zhukovska, O. A., Shperlov, R. V.
openaire   +3 more sources

Research on Intelligent Power Load Forecasting Algorithm Based on Empirical Mode Decomposition

open access: yesChemical Engineering Transactions, 2017
The load forecasting of power system is related to the dispatching operation and production planning of power system. Accurate load forecasting can improve the safety and stability of the system and reduce the cost of power generation. The load variation
Qinghua Chen
doaj   +1 more source

Forecasting of Electric Load Using a Hybrid LSTM-Neural Prophet Model

open access: yesEnergies, 2022
Load forecasting (LF) is an essential factor in power system management. LF helps the utility maximize the utilization of power-generating plants and schedule them both reliably and economically.
Md Jamal Ahmed Shohan   +2 more
doaj   +1 more source

Short-Term Load Forecasting of Natural Gas with Deep Neural Network Regression [PDF]

open access: yes, 2018
Deep neural networks are proposed for short-term natural gas load forecasting. Deep learning has proven to be a powerful tool for many classification problems seeing significant use in machine learning fields such as image recognition and speech ...
Brown, Ronald H.   +2 more
core   +2 more sources

Efficient building load forecasting [PDF]

open access: yesETFA2011, 2011
The arrival of the smart grid paradigm has brought a number of novel initiatives that aim at increasing the level of energy efficiency of buildings such as smart metering or demand side management. Still, all of them demand an accurate load estimation.
Ivan Fernandez   +2 more
openaire   +1 more source

Short-Term Load-Forecasting Method Based on Wavelet Decomposition With Second-Order Gray Neural Network Model Combined With ADF Test

open access: yesIEEE Access, 2017
Improving the accuracy of power system load forecasting is important for economic dispatch. However, a load sequence is highly nonstationary and hence makes accurate forecasting difficult. In this paper, a method based on wavelet decomposition (WD) and a
Bowen Li, Jing Zhang, Yu He, Yang Wang
doaj   +1 more source

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