-
1دورية أكاديمية
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
-
2دورية أكاديمية
المؤلفون: Sameer Al-Dahidi, Piero Baraldi, Enrico Zio, Lorenzo Montelatici
المصدر: MDPI, Sustainability. 13(11):1-19
-
3
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
-
4
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)
-
5
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