Disaggregating time series on multiple criteria for robust forecasting: the case of long-term electricity demand in Greece
DOI10.1016/j.ejor.2018.11.003zbMath1431.91297OpenAlexW2900243438MaRDI QIDQ1711470
Dimitrios Angelopoulos, John Psarras, Yiannis Siskos
Publication date: 18 January 2019
Published in: European Journal of Operational Research (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.ejor.2018.11.003
disaggregationrobustness analysismultiple criteria analysisordinal regressionlong-term electricity demand
Inference from stochastic processes and prediction (62M20) Applications of statistics to actuarial sciences and financial mathematics (62P05) Economic time series analysis (91B84)
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- Multiple criteria decision analysis. State of the art surveys. In 2 volumes
- Elicitation of criteria importance weights through the Simos method: a robustness concern
- Electric load forecasting methods: tools for decision making
- Customer satisfaction evaluation. Methods for measuring and implementing service quality.
- Assessing a set of additive utility functions for multicriteria decision- making, the UTA method
- A multiple criteria analysis model for real estate evaluation
- Preference disaggregation for measuring and analysing customer satisfaction: The MUSA method
- Robust ordinal regression in preference learning and ranking
- Robust Ordinal Regression
- Preference disaggregation: 20 years of MCDA experience.
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