Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Benjamin Auder"'
Publikováno v:
Energies, Vol 11, Iss 7, p 1893 (2018)
Smart grids require flexible data driven forecasting methods. We propose clustering tools for bottom-up short-term load forecasting. We focus on individual consumption data analysis which plays a major role for energy management and electricity load
Externí odkaz:
https://doaj.org/article/6738856350184406b54a549ce418a318
Publikováno v:
Metrika. 84:561-593
We consider finite mixtures of generalized linear models with binary output. We prove that cross moments (between the output and the regression variables) up to order three are sufficient to identify all parameters of the model. We propose a least-sq
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3a71da699c930992f8222aca92043c28
https://doi.org/10.1007/s00184-020-00787-x
https://doi.org/10.1007/s00184-020-00787-x
Publikováno v:
Atmospheric Pollution Research. 7:1101-1109
We experiment some methods of sequential aggregation for forecasting PM10 concentrations for the next day, in the context of air quality monitoring in Normandy (France). Besides the field of application and the adaptation to the special context of th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d05b7faebb63429b74deb49c6dbffa2d
https://doi.org/10.1016/j.apr.2016.06.013
https://doi.org/10.1016/j.apr.2016.06.013
Publikováno v:
Energies, Vol 11, Iss 7, p 1893 (2018)
Energies
Energies, MDPI, 2018, 11 (7), pp.1893. ⟨10.3390/en11071893⟩
Energies, 2018, 11 (7), pp.1893. ⟨10.3390/en11071893⟩
Volume 11
Issue 7
Energies
Energies, MDPI, 2018, 11 (7), pp.1893. ⟨10.3390/en11071893⟩
Energies, 2018, 11 (7), pp.1893. ⟨10.3390/en11071893⟩
Volume 11
Issue 7
Smart grids require flexible data driven forecasting methods. We propose clustering tools for bottom-up short-term load forecasting. We focus on individual consumption data analysis which plays a major role for energy management and electricity load
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e66213c2b0b30934ccbc33af125777dc
Autor:
Benjamin Auder, Aurélie Fischer
This paper focuses on unsupervised curve classification in the context of nuclear industry. At the Commissariat à l'Energie Atomique (CEA), Cadarache (France), the thermal-hydraulic computer code CATHARE is used to study the reliability of reactor v
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::38dc29b60dd5e1971c4883791c894105
https://hal.science/hal-00565541/file/Projection-based_curve_clustering.pdf
https://hal.science/hal-00565541/file/Projection-based_curve_clustering.pdf
Publikováno v:
Reliability Engineering and System Safety
Reliability Engineering and System Safety, 2012, 107, pp.122-131
Reliability Engineering and System Safety, Elsevier, 2012, 107, pp.122-131
Reliability Engineering and System Safety, 2012, 107, pp.122-131
Reliability Engineering and System Safety, Elsevier, 2012, 107, pp.122-131
To perform uncertainty, sensitivity or optimization analysis on scalar variables calculated by a cpu time expensive computer code, a widely accepted methodology consists in first identifying the most influential uncertain inputs (by screening techniq
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::28985ba949fb30a08c6a31ef86c5d441
http://arxiv.org/abs/1010.2334
http://arxiv.org/abs/1010.2334
Publikováno v:
Procedia - Social and Behavioral Sciences. 2:7583-7584
To perform uncertainty, sensitivity or optimization analysis on scalar variables calculated by a cpu time expensive computer code, a widely accepted methodology consists in first identifying the most influential uncertain inputs (by screening techniq
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1b526861d6b71006e0433685ccc16877
https://doi.org/10.1016/j.sbspro.2010.05.129
https://doi.org/10.1016/j.sbspro.2010.05.129