المؤلفون: Sameer Al-Dahidi, Piero Baraldi, Miriam Fresc, Enrico Zio, Lorenzo Montelatici

المصدر: Energies, Vol 17, Iss 10, p 2424 (2024)

مصطلحات موضوعية: wind energy, prediction, feature selection, binary differential evolution, artificial neural networks, ensemble, Technology

وصف الملف: electronic resource

Relation: https://www.mdpi.com/1996-1073/17/10/2424; https://doaj.org/toc/1996-1073

URL الوصول: https://doaj.org/article/5f323b0ff7d04404bed9603b90b4a8b1

المؤلفون: Sameer Al-Dahidi, Piero Baraldi, Enrico Zio, Lorenzo Montelatici

المصدر: MDPI, Sustainability. 13(11):1-19

الإتاحة: https://ideas.repec.org/a/gam/jsusta/v13y2021i11p6417-d569086.html

المؤلفون: Enrico Zio, Lorenzo Montelatici, Piero Baraldi, Sameer Al-Dahidi

المساهمون: German Jordanian University (GJU), Politecnico di Milano [Milan] (POLIMI), Centre de recherche sur les Risques et les Crises (CRC), MINES ParisTech - École nationale supérieure des mines de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL), Kyung Hee University (KHU)

المصدر: Sustainability
Volume 13
Issue 11
Sustainability, Vol 13, Iss 6417, p 6417 (2021)
Sustainability, MDPI, 2021, 13 (11), pp.6417. ⟨10.3390/su13116417⟩

مصطلحات موضوعية: Mathematical optimization, Computer science, 020209 energy, Geography, Planning and Development, TJ807-830, 02 engineering and technology, Management, Monitoring, Policy and Law, TD194-195, 7. Clean energy, Renewable energy sources, 0202 electrical engineering, electronic engineering, information engineering, GE1-350, Uncertainty quantification, [SHS.GEST-RISQ]Humanities and Social Sciences/domain_shs.gest-risq, Wind energy, Wind power, Artificial neural network, Environmental effects of industries and plants, Artificial neural networks, Renewable Energy, Sustainability and the Environment, business.industry, Prediction interval, Energy mix, Building and Construction, Grid, Bootstrap, Power (physics), Environmental sciences, 020201 artificial intelligence & image processing, business, Prediction, Ensemble, Energy (signal processing), Prediction intervals

وصف الملف: application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::38acecae1d6f371a2aa38fa22f6f75b0
http://hdl.handle.net/11311/1181131

المؤلفون: Sameer Al-Dahidi, Piero Baraldi, Lorenzo Montelatici, Zhe Yang, Enrico Zio

المساهمون: Centre de recherche sur les Risques et les Crises (CRC), MINES ParisTech - École nationale supérieure des mines de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)

المصدر: IEEE Transactions on Neural Networks and Learning Systems
IEEE Transactions on Neural Networks and Learning Systems, IEEE, 2020, 31 (1), pp.309-320. ⟨10.1109/TNNLS.2019.2900956⟩

مصطلحات موضوعية: Concept drift, Computer Networks and Communications, Computer science, Probability density function, 02 engineering and technology, model dissimilarity, computer.software_genre, 7. Clean energy, Data modeling, [SPI]Engineering Sciences [physics], Artificial Intelligence, 0202 electrical engineering, electronic engineering, information engineering, Production (economics), [SHS.GEST-RISQ]Humanities and Social Sciences/domain_shs.gest-risq, ComputingMilieux_MISCELLANEOUS, incremental learning, online sequential extreme learning machine (OS-ELM), Concept drift detection, Computer Science Applications, Data set, Incremental learning, energy production prediction, 020201 artificial intelligence & image processing, Data mining, computer, Software, Energy (signal processing)

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d1919d574ac23960bfcce213e47460af
http://hdl.handle.net/11311/1160189

المؤلفون: Stefano Bedogni, Lorenzo Montelatici, Sabrina De Biase, Rosa Barrera, Stefano Ginocchio

المصدر: International Journal of Hydrogen Energy. 33:3193-3196

مصطلحات موضوعية: Renewable Energy, Sustainability and the Environment, Computer science, Energy Engineering and Power Technology, Thermal power station, Condensed Matter Physics, Automotive engineering, Test (assessment), Cogeneration, Fuel Technology, Reliability (semiconductor), Range (aeronautics), Service life, Solid oxide fuel cell, Electric power

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::5bc874ac60e1cf48b784ba91f45f5bca
https://doi.org/10.1016/j.ijhydene.2008.04.002