An adaptive hybrid fractal model for short-term load forecasting in power systems

•Short-term load forecasting (STLF) of power loads involves fractal features, due to complexity of power systems.•Composite linear fractal interpolation function (CLFIF) modeling better captures irregularities and fluctuations of power loads.•Iterative learning (IL) and chimp optimization algorithm...

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Vydané v:	Electric power systems research Ročník 207; s. 107858
Hlavní autori:	Li, Xiaolan, Zhou, Jun
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Amsterdam Elsevier B.V 01.06.2022 Elsevier Science Ltd
Predmet:	Adaptive Algorithms Chimp optimization algorithm Composite linear fractal interpolation function Electricity distribution Forecasting Fractal models Fractals Interpolation Iterative learning Iterative methods Machine learning Model accuracy Numerical analysis Optimization Optimization algorithms Parameterization Short-term load forecasting Time series Chimp optimization algorithm Adaptive Composite linear fractal interpolation function Short-term load forecasting Iterative learning
ISSN:	0378-7796, 1873-2046
On-line prístup:	Získať plný text
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