Forecasting day-ahead electricity load using a multiple equation time series approach

DOI10.1016/j.ejor.2015.12.030zbMath1346.62159OpenAlexW2202089267MaRDI QIDQ322713

A. E. Clements, A. S. Hurn, Zili Li

Publication date: 7 October 2016

Published in: European Journal of Operational Research (Search for Journal in Brave)

Full work available at URL: https://eprints.qut.edu.au/221060/1/95170.pdf

zbMATH Keywords

short-term load forecastingintra-day load correlationmodelling seasonality

Mathematics Subject Classification ID

Applications of statistics to economics (62P20) Economic time series analysis (91B84)

Related Items (6)

Elements of randomized forecasting and its application to daily electrical load prediction in a regional power system ⋮ Short-run electricity load forecasting with combinations of stationary wavelet transforms ⋮ Why do consumers prefer static instead of dynamic pricing plans? An empirical study for a better understanding of the low preferences for time-variant pricing plans ⋮ An integrated method based on relevance vector machine for short-term load forecasting ⋮ Periodically correlated models for short-term electricity load forecasting ⋮ Temporal hierarchies with autocorrelation for load forecasting

Cites Work

• Forecasting time series with multiple seasonal patterns
• Electric load forecasting methods: tools for decision making
• Triple seasonal methods for short-term electricity demand forecasting
• Forecasting Time Series With Complex Seasonal Patterns Using Exponential Smoothing
• A Fast Estimation Method for the Vector Autoregressive Moving Average Model With Exogenous Variables
• Short-term electricity demand forecasting using double seasonal exponential smoothing

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