Elements of randomized forecasting and its application to daily electrical load prediction in a regional power system

DOI10.1134/S0005117920070103zbMath1457.62387OpenAlexW3080537676MaRDI QIDQ828102

N. E. Zubov

Publication date: 14 January 2021

Published in: Automation and Remote Control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1134/s0005117920070103

zbMATH Keywords

forecastingentropy functionaldaily electrical load of power systemempirical balancehierarchical randomizationoscillatory dynamic regressionsampling of probability density

Mathematics Subject Classification ID

Inference from stochastic processes and prediction (62M20) Applications of statistics in engineering and industry; control charts (62P30)

Related Items (1)

Randomized machine learning of nonlinear models with application to forecasting the development of an epidemic process

Uses Software

• PRMLT

Cites Work

• A comparison of direct and iterated multistep AR methods for forecasting macroeconomic time series
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• Algorithms of inertial mirror descent in convex problems of stochastic optimization
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• Communication Theory of Secrecy Systems*
• The elements of statistical learning. Data mining, inference, and prediction
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