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

Relation: https://www.frontiersin.org/articles/10.3389/frsus.2022.1037497/full; https://doaj.org/toc/2673-4524

URL الوصول: https://doaj.org/article/0a5e670c04984431a787efde80fa1942

المؤلفون: Pietro Portolani, Alessandro Brusaferri, Andrea Ballarino, Matteo Matteucci

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

المؤلفون: Pietro Portolani, Matteo Matteucci, Stefano Spinelli, Alessandro Brusaferri

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
INDIN

مصطلحات 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

المؤلفون: Andrea Vitali, Pietro Portolani, Matteo Matteucci, Alessandro Brusaferri

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:250

مصطلحات 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