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Short-term load forecasting using time series clustering [PDF]
, 2022 Short-term load forecasting plays a major role in energy planning. Its accuracy has a direct impact on the way power systems are operated and managed.
Margarida G. M. S. Cardoso +9 more
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Short-term power load forecasting based on I-GWO-KELM algorithm [PDF]
MATEC Web of Conferences, 2021 In this paper, I-GWO-KELM algorithm is used for short-term power load forecasting. Normalize the power data and meteorological data of the short-term power load, and use GWO to optimize the regularization coefficient of KELM and the RBF kernel parameters.
Chen Xiaoyu, Dong Xiangli, Shi Li
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Spatial‐temporal learning structure for short‐term load forecasting
IET Generation, Transmission & Distribution, 2023 In the power system operational/planning studies, it is a crucial task to provide the load consumption information in the look‐ahead times. The huge variation of the power system infrastructure in recent years has led to significant changes in the ...
Mahtab Ganjouri +3 more
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Short term electricity load forecasting for institutional buildings
Energy Reports, 2019 Peak load demand forecasting is important in building unit sectors, as climate change, technological development, and energy policies are causing an increase in peak demand. Thus, accurate peak load forecasting is a critical role in preventing a blackout
Yunsun Kim, Heung-gu Son, Sahm Kim
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Forecasting Turkey's short term hourly load with artificial neural networks
, 2010 Load forecasting is important necessity to provide economic, reliable, high grade energy. In this study, short term hourly load forecasting systems were developed for nine load distribution regions of Turkey using artificial neural networks (ANN ...
C.P. Girep +7 more
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Journal of Applied Science and Engineering, 2022 To enrich short-term load forecasting methods and improve forecasting accuracy, a short-term load forecasting method based on variational mode decomposition and chaotic grey wolf optimization (CGWO) improved random forest (RF) is proposed.
Fan Wang +3 more
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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 +7 more
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Comparison methods of short term electrical load forecasting
MATEC Web of Conferences, 2018 The supply of electricity that exceeds the load requirement results in the occurrence of electrical power losses. To provide the appropriate power supply to these needs, there must be a plan for the provision of electricity by making prediction or ...
Hartono, Marifa Ahmad Arif, Sadikin M.
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Data Selection for Short Term load forecasting
CoRR, 2019 Power load forecast with Machine Learning is a fairly mature application of artificial intelligence and it is indispensable in operation, control and planning. Data selection techniqies have been hardly used in this application. However, the use of such techniques could be beneficial provided the assumption that the data is identically distributed is ...
Nestor Pereira +4 more
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A neural network and rule based system application in water demand forecasting [PDF]
, 1995 This thesis was submitted for the degree of Doctor of Philosophy and was awarded by Brunel University.This thesis describes a short term water demand forecasting application that is based upon a combination of a neural network forecast generator and a ...
Hartley, Joseph Alan
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