Air Temperature Forecasting Using Machine Learning Techniques: A Review

Autor: Jenny Cifuentes, Geovanny Marulanda, Antonio Bello, Javier Reneses

Publikováno v: Energies, Vol 13, Iss 16, p 4215 (2020)

Efforts to understand the influence of historical climate change, at global and regional levels, have been increasing over the past decade. In particular, the estimates of air temperatures have been considered as a key factor in climate impact studie

Externí odkaz: https://doaj.org/article/0b8052279e5e4032a63a8cf963883c8b

Short-term spatio-temporal forecasting of air temperatures using deep graph convolutional neural networks

Autor: Lucia García-Duarte Sáenz, Jenny Cifuentes Quintero, Geovanny Marulanda

Publikováno v: Stochastic Environmental Research and Risk Assessment. 37:1649-1667

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c69dfef03efae8ea316604cd4652ab6d
https://doi.org/10.1007/s00477-022-02358-0

Short-Term Forecasting of Wind Energy: A Comparison of Deep Learning Frameworks

Autor: Geovanny Marulanda, Jenny Cifuentes, Elianne Mora

Publikováno v: Energies, Vol 14, Iss 7943, p 7943 (2021)
e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid
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Energies; Volume 14; Issue 23; Pages: 7943

Wind energy has been recognized as the most promising and economical renewable energy source, attracting increasing attention in recent years. However, considering the variability and uncertainty of wind energy, accurate forecasting is crucial to pro

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6edfdacab9ec6b5a2225c0a97cfa4b9b
https://www.mdpi.com/1996-1073/14/23/7943

Optimal charging schedule of Electric Vehicles considering variation of energy price.

Autor: Andres, Arias L., Geovanny, Marulanda G., Camila, Puentes G., Hincapie, Ricardo A., Mauricio, Granada E.

Publikováno v: 2014 IEEE PES Transmission & Distribution Conference & Exposition - Latin America (PES T&D-LA); 2014, p1-5, 5p