Zobrazeno 1 - 10
of 41
pro vyhledávání: '"Gitiforouz, A."'
Publikováno v:
نثرپژوهی ادب فارسی, Vol 25, Iss 52, Pp 27-49 (2023)
Entekhabe-Muntakhab-ol-Tawarikh, abbreviated as Entekhab Muntakhab, is one of the historical texts of the 11th century, written by Abd-ol-Shakur Bin-Abd-ol-Vase Tattavi Hindustani, one of the secretaries of the Gurkanian Empire in India, in order to
Externí odkaz:
https://doaj.org/article/ca1a07b1c788420193ab85674be60b53
Publikováno v:
In Expert Systems With Applications 2009 36(8):11108-11117
Publikováno v:
In Energy Conversion and Management 2008 49(8):2165-2177
Publikováno v:
Revista da Sociedade Brasileira de Medicina Tropical, Vol 47, Iss 5, Pp 669-669 (2014)
Externí odkaz:
https://doaj.org/article/416a2eee61c84f19a587eb436968894e
Publikováno v:
Quality & Quantity. 47:2163-2176
This paper introduces an integrated algorithm for forecasting electricity consumption (EL) based on fuzzy regression, time series and principal component analysis (PCA) in uncertain markets such as Iran. The algorithm is examined by mean absolute per
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4f32586b687615dbc1ec600c67695d37
https://doi.org/10.1007/s11135-011-9649-0
https://doi.org/10.1007/s11135-011-9649-0
Publikováno v:
Journal of the Chinese Institute of Engineers. 34:1047-1066
This study presents an integrated fuzzy regression, computer simulation, and time series algorithm to estimate and predict electricity demand for seasonal and monthly changes in electricity consumption especially in developing countries such as China
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::df93a954abd167f2e7917767416bee93
https://doi.org/10.1080/02533839.2011.576502
https://doi.org/10.1080/02533839.2011.576502
Publikováno v:
Expert Systems with Applications. 36:11108-11117
This paper presents a hybrid adaptive network based fuzzy inference system (ANFIS), computer simulation and time series algorithm to estimate and predict electricity consumption estimation. The difficulty with electricity consumption estimation model
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6c512aeae497585753e45a38ca2f4361
https://doi.org/10.1016/j.eswa.2009.02.081
https://doi.org/10.1016/j.eswa.2009.02.081
Publikováno v:
Energy Conversion and Management. 49:2165-2177
This study presents an integrated fuzzy system, data mining and time series framework to estimate and predict electricity demand for seasonal and monthly changes in electricity consumption especially in developing countries such as China and Iran wit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::efd0a758a2f7e5e98c2e6d7feae76955
https://doi.org/10.1016/j.enconman.2008.02.021
https://doi.org/10.1016/j.enconman.2008.02.021
Publikováno v:
Expert Review of Clinical Pharmacology. 7:401-402
Response to: Bustamante JM, Tarleton RL. Potential new clinical therapies for Chagas disease. Expert Rev. Clin. Pharmacol. 7(3), 317–325 (2014).We read with curiosity a recent article published in ...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6a763ff9b5cb59a3b475184a0979cb91
https://doi.org/10.1586/17512433.2014.922868
https://doi.org/10.1586/17512433.2014.922868
Publikováno v:
2009 3rd IEEE International Conference on Digital Ecosystems and Technologies.
This study presents an integrated fuzzy regression, computer simulation and time series framework to estimate and predict electricity demand for seasonal and monthly changes in electricity consumption especially in developing countries such as China
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::af400da373372f59b070982b7a265b49
https://doi.org/10.1109/dest.2009.5276675
https://doi.org/10.1109/dest.2009.5276675