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1دورية أكاديمية
المؤلفون: Pietro Portolani, Andrea Vitali, Simone Cornago, Davide Rovelli, Carlo Brondi, Jonathan Sze Choong Low, Seeram Ramakrishna, Andrea Ballarino
المصدر: Frontiers in Sustainability, Vol 3 (2022)
مصطلحات موضوعية: life cycle assessment, machine learning, electricity, forecasting, dynamic life cycle inventory, dynamic LCA, Economic theory. Demography, HB1-3840
وصف الملف: electronic resource
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المصدر: Information Processing and Management of Uncertainty in Knowledge-Based Systems ISBN: 9783031089732
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::c99e53d899db2906b89a3ee74797a12c
https://doi.org/10.1007/978-3-031-08974-9_44 -
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المصدر: Industrial Informatics (INDIN), pp. 319–324, 23/07/2019-25/07/2019
info:cnr-pdr/source/autori:Brusaferri, A.; Matteucci, M.; Portolani, P.; Spinelli, S./congresso_nome:Industrial Informatics (INDIN)/congresso_luogo:/congresso_data:23%2F07%2F2019-25%2F07%2F2019/anno:2019/pagina_da:319/pagina_a:324/intervallo_pagine:319–324
INDINمصطلحات موضوعية: 0209 industrial biotechnology, Computer science, Feature vector, Bayesian probability, Recurrent Neural Network, Inference, 02 engineering and technology, 010501 environmental sciences, Machine learning, computer.software_genre, 01 natural sciences, 020901 industrial engineering & automation, Control, Nonlinear systems, 0105 earth and related environmental sciences, Nonlinear system identification, business.industry, Probabilistic logic, System identification, System Identification, Nonlinear system, Recurrent Neural Net-work, Recurrent neural network, Artificial intelligence, business, computer, Simulation, System Identification, Recurrent Neural Network, Nonlinear systems, Simulation, Control
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4456c4bcf08227a2cd1169989c69511b
https://publications.cnr.it/doc/406325 -
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المصدر: Applied energy 250 (2019): 1158–1175. doi:10.1016/j.apenergy.2019.05.068
info:cnr-pdr/source/autori:Brusaferri, Alessandro; Matteucci, Matteo; Portolani, Pietro; Vitali, Andrea/titolo:Bayesian deep learning based method for probabilistic forecast of day-ahead electricity prices/doi:10.1016%2Fj.apenergy.2019.05.068/rivista:Applied energy/anno:2019/pagina_da:1158/pagina_a:1175/intervallo_pagine:1158–1175/volume:250مصطلحات موضوعية: Bayesian learning, Deep learning, Electricity price forecasting, Neural network, Probabilistic forecasting, Operations research, Computer science, 020209 energy, 02 engineering and technology, Management, Monitoring, Policy and Law, Bayesian inference, 020401 chemical engineering, Homoscedasticity, 0202 electrical engineering, electronic engineering, information engineering, 0204 chemical engineering, business.industry, Mechanical Engineering, Probabilistic logic, Building and Construction, Bidding, General Energy, Scalability, Artificial intelligence, business
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6dc777553c51814fcffd858d834a433c