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D4.3 Predictive Algorithms v1

Authors :
Molina, Benjamin
Lacalle, Ignacio
Palau, Carlos E.
Llorente, Miguel Angel
Clemente, Jose Antonio
Stepec, Dejan
Martincic, Tomaz
Fuart, Flavio
Devescoci, Manuel
Garnier, Charles
Simon, Erwan
Corsano, Tamara
Chinese, Andrea
Dimitriadis, Grigoris
Tserga, Eirini
Spyrou, Dimitrios
Chaldeakis, Athanasios
Bevilacqua, Stefano
Guillon, Thibault
Publication Year :
2021
Publisher :
Zenodo, 2021.

Abstract

Deliverable document contains the development of new prediction and forecastingalgorithms in the ports where the need is greatest: to allocate energy in moreefficient way and to forecast the infrastructure needs and trend of environmentalpollution in the ports. For different sectors within ports there are differentrequirements and thus various predictive models/algorithms must be constructedto include different conditions. The proposed algorithms will be applied usingavailable data measurements to test their performance and forecasting quality.Associated task: T4.5.

Details

Language :
English
Database :
OpenAIRE
Accession number :
edsair.doi.dedup.....08720e9126c2c31abc91face5f2a78a0
Full Text :
https://doi.org/10.5281/zenodo.5552571