Ensemble ranking: An aggregation of multiple multicriteria methods and scenarios and its application to power generation planning

Alves, Marcos Antonio; Oliveira, Bruno Alberto Soares; Guimarães, Frederico Gadelha

doi:10.1016/j.dajour.2024.100435

Decision Analytics Journal

2024

DOI: 10.1016/j.dajour.2024.100435

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Ensemble ranking: An aggregation of multiple multicriteria methods and scenarios and its application to power generation planning

Marcos Antonio Alves,

Bruno Alberto Soares Oliveira,

Frederico Gadelha Guimarães

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Advancing Smart Zero-Carbon Cities: High-Resolution Wind Energy Forecasting to 36 Hours Ahead

Elmousalami,

Alnaser,

Kin Peng Hui

2024

Applied Sciences

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Accurate wind speed and power forecasting are key to optimizing renewable wind station management, which is essential for smart and zero-energy cities. This paper presents a novel integrated wind speed–power forecasting system (WSPFS) that operates across various time horizons, demonstrated through a case study in a high-wind area within the Middle East. The WSPFS leverages 12 AI algorithms both individual and ensemble models to forecast wind speed (WSF) and wind power (WPF) at intervals of 10 min to 36 h. A multi-horizon prediction approach is proposed, using WSF model outputs as inputs for WPF modeling. Predictive accuracy was evaluated using mean absolute percentage error (MAPE) and mean square error (MSE). Additionally, WSPFS advances the smart wind energy deep decarbonization (SWEDD) framework by calculating the carbon city index (CCI) to define the carbon-city transformation curve (CCTC). Findings from this study have broad implications, from enabling zero-energy urban projects and mega-developments like NEOM and the Suez Canal to advancing global energy trading and supply management.

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Advancing Smart Zero-Carbon Cities: High-Resolution Wind Energy Forecasting to 36 Hours Ahead

Elmousalami,

Alnaser,

Kin Peng Hui

2024

Applied Sciences

View full text Add to dashboard Cite

show abstract

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Ensemble ranking: An aggregation of multiple multicriteria methods and scenarios and its application to power generation planning

Cited by 1 publication

References 35 publications

Advancing Smart Zero-Carbon Cities: High-Resolution Wind Energy Forecasting to 36 Hours Ahead

Advancing Smart Zero-Carbon Cities: High-Resolution Wind Energy Forecasting to 36 Hours Ahead

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