Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Franco Marchesoni"'
Autor:
Franco Marchesoni-Acland, Marie d'Autume, Gabriele Facciolo, Carlo De Franchis, Jean-Michel Morel, Enric Meinhardt-Llopis
Publikováno v:
2022 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2022)
2022 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2022), Jul 2022, Kuala Lumpur, Malaysia. pp.975-978, ⟨10.1109/IGARSS46834.2022.9884193⟩
2022 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2022), Jul 2022, Kuala Lumpur, Malaysia. pp.975-978, ⟨10.1109/IGARSS46834.2022.9884193⟩
International audience; Shape from shading (SfS) enables 3D reconstruction of stockpiles from a single image. However, this method requires proper boundary conditions to work properly. Obtaining such Dirichlet and Neumann conditions is equivalent to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::06bc66999df202f5074416d6a147687d
https://hal.science/hal-03835733
https://hal.science/hal-03835733
Publikováno v:
2021 IEEE URUCON.
Publikováno v:
2021 IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America).
In recent years we have seen deep neural networks (DNNs) appear in almost every signal processing problem. Non Intrusive Load Monitoring (NILM) was not an exception. A detailed evaluation of the supervised deep learning approach can provide powerful
Satellite-based solar irradiation forecasting is useful for short-term intra-day time horizons, outperforming numerical weather predictions up to 3–4 h ahead. The main techniques for solar satellite forecast are based on sophisticated cloud motion
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7b5268e1cd577ddb0b246b826a9da9fd
Publikováno v:
PVSC 46, 46th IEEE Photovoltaic Specialists Conference
PVSC 46, 46th IEEE Photovoltaic Specialists Conference, Jun 2019, Chicago, United States
PVSC 46, 46th IEEE Photovoltaic Specialists Conference, Jun 2019, Chicago, United States
International audience; As the solar photovoltaic (PV) share in the electricity grid is growing year by year, solar irradiance forecasting is becoming increasingly important. In this work the performance of a recursive formulation of ARMA models suit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bfce4dadc9528b0318e033018aa491a5
https://hal.univ-reunion.fr/hal-02388538
https://hal.univ-reunion.fr/hal-02388538