The combination forecasting of electricity price based on price spikes processing: a case study in South Australia

DOI10.1155/2014/172306zbMath1406.91287OpenAlexW2153349383WikidataQ59035717 ScholiaQ59035717MaRDI QIDQ1722248

Xianqiang Yang

Publication date: 14 February 2019

Published in: Abstract and Applied Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2014/172306

zbMATH Keywords

electricity marketchaos particles optimizationelectricity price forecasting

Mathematics Subject Classification ID

Applications of statistics to economics (62P20) Inference from stochastic processes and prediction (62M20) Approximation methods and heuristics in mathematical programming (90C59) Economic models of real-world systems (e.g., electricity markets, etc.) (91B74)

Cites Work

• Chaos particle swarm optimization algorithm

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