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A Secure IIoT Environment That Integrates AI-Driven Real-Time Short-Term Active and Reactive Load Forecasting with Anomaly Detection: A Real-World Application. [PDF]
Sensors (Basel)Joha MI, Rahman MM, Nazim MS, Jang YM.
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Optimizing electric load forecasting with support vector regression/LSTM optimized by flexible Gorilla troops algorithm and neural networks a case study. [PDF]
Sci RepZhang Z, Zhang Q, Liang H, Gorbani B.
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Ultra short term power load forecasting based on the fusion of Seq2Seq BiLSTM and multi head attention mechanism. [PDF]
PLoS OneGou Y, Guo C, Qin R.
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A new Frontier in electric load forecasting: The LSV/MOPA model optimized by modified orca predation algorithm. [PDF]
HeliyonYan G, Wang J, Thwin M.
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2021 International Conference on Intelligent Technologies (CONIT), 2021
Since the electricity demand is increasing globally, load forecasting techniques have become immensely important in forecasting the electricity demands and it also helps the policy makers. The aim of our project is to perform short-term load forecasting, i.e. up to a week ahead.
Ujjwal Singh +3 more
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Since the electricity demand is increasing globally, load forecasting techniques have become immensely important in forecasting the electricity demands and it also helps the policy makers. The aim of our project is to perform short-term load forecasting, i.e. up to a week ahead.
Ujjwal Singh +3 more
openaire +1 more source
Spatial Load Forecasting Based on Load Forecasting Reliability
Applied Mechanics and Materials, 2014A spatial load forecasting method based on reliability of load forecasting is proposed. It calculates the correlation of wave comprehensive index, variance, maximum predictable ability of each power supply small area’s historical load data by using the analysis theory of grey degree based on the analysis of load forecasting error last target year.
Bai Xiao, Hao Wang, Gang Mu
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IEEE Computer Applications in Power, 1995
The reliability, efficiency, and economy of a power delivery system depend mainly on how well its substations, transmission lines, and distribution feeders are located within the utility service area, and how well their capacities match power needs in their respective localities. Often, utility planners are forced to commit to sites, rights of way, and
H.L. Willis, M.V. Engel, M.J. Buri
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The reliability, efficiency, and economy of a power delivery system depend mainly on how well its substations, transmission lines, and distribution feeders are located within the utility service area, and how well their capacities match power needs in their respective localities. Often, utility planners are forced to commit to sites, rights of way, and
H.L. Willis, M.V. Engel, M.J. Buri
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Probabilistic Load Forecasting
2021Probabilistic load forecasting (PLF) is able to present the uncertainty information of the future loads. It is the basis of stochastic power system planning and operation. Recent works on PLF mainly focus on how to develop and combine forecasting models; while the feature selection issue has not been thoroughly investigated for PLF.
Qixin Chen +3 more
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Load Forecasting for Transmission Planning
IEEE Power Engineering Review, 1984This paper investigates the load forecasting needs of transmission planning, using the planning of two utility systems as an example. Two aspects are investigated. One, the effect of forecasting error on the planning of a transmission system, and two, procedures required to produce forecasts. Several conclusions are developed.
H. Willis, H. Tram
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