Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Sina Shabani"'
Publikováno v:
International Journal of Hydrology Science and Technology. 1:1
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d7d889eef58dea29432032c1464d00b3
https://doi.org/10.1504/ijhst.2023.10053941
https://doi.org/10.1504/ijhst.2023.10053941
Publikováno v:
International Journal of Hydrology Science and Technology. 1:1
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d9936f912016a4e71ba5072988cacc36
https://doi.org/10.1504/ijhst.2022.10049720
https://doi.org/10.1504/ijhst.2022.10049720
Publikováno v:
Procedia Engineering. 186:537-543
High complexity of water distribution systems’ (WDS) dynamics has convinced researchers to look for more sophisticated statistical approaches in urban water demand forecasting. Given the huge threat to major water reserves and ongoing draughts, wat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2957da37c94aaf1c4b7ee998b8022c1a
https://doi.org/10.1016/j.proeng.2017.03.267
https://doi.org/10.1016/j.proeng.2017.03.267
Publikováno v:
Procedia Engineering. 186:544-550
Increasing draught seasons and lack of access to potable water reserves have been the major risks threatening water authorities and governments over the recent years. Therefore, long term water forecasts are receiving much more attention nowadays. Un
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6beb0f339b8a020a80b3e4d400c59b40
https://doi.org/10.1016/j.proeng.2017.03.268
https://doi.org/10.1016/j.proeng.2017.03.268
Publikováno v:
Procedia Engineering. 119:1202-1211
Annually a large amount of money should be spent by water authorities to adapt and update water distribution systems (WDSs)to the latest client's needs and variations known as adaptation cost. To prevent or lessen WDSs’ adaptation cost it is essent
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::efb817d1a5fc565906ca939bc29cfe78
https://doi.org/10.1016/j.proeng.2015.08.975
https://doi.org/10.1016/j.proeng.2015.08.975
Autor:
Sina Shabani, Gh. Naser
Publikováno v:
Procedia Engineering. 119:781-787
Researchers have used a wide range of explanatory variables in their water demand forecasting models. In reality, nature of the data used in these modelling techniques is not similar to each other. In fact, not enough attention has been paid to perio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0340a0a321f84af834078198b5fbd52a
Publikováno v:
International Journal of Chemical Engineering and Applications. :165-168
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2db736a91808bc841c163c1f41854578
https://doi.org/10.7763/ijcea.2013.v4.286
https://doi.org/10.7763/ijcea.2013.v4.286
Publikováno v:
Water Stress in Plants
Given the increasing trend in water scarcity, which threatens a number of regions worldwide, governments and water distribution system (WDS) operators have sought accurate methods of estimating water demands. While investigators have proposed stochas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3799b90a9289bcc30bf98deabfbe6f2b
http://www.intechopen.com/articles/show/title/intelligent-soft-computing-models-in-water-demand-forecasting
http://www.intechopen.com/articles/show/title/intelligent-soft-computing-models-in-water-demand-forecasting
