Zobrazeno 1 - 10
of 46
pro vyhledávání: '"Kegong Diao"'
Publikováno v:
Water Supply, Vol 24, Iss 7, Pp 2409-2426 (2024)
Mixed integer linear programming (MILP) has been gaining traction as a method for solving optimal pump scheduling problems in water distribution networks (WDNs). However, inclusion of variable speed pumps (VSPs) in MILP pump scheduling frameworks has
Externí odkaz:
https://doaj.org/article/fd519771a384416dacf8441c0aae4137
Sensor placement in water distribution networks using centrality-guided multi-objective optimisation
Publikováno v:
Journal of Hydroinformatics, Vol 25, Iss 6, Pp 2291-2303 (2023)
This paper introduces a multi-objective optimisation approach for the challenging problem of efficient sensor placement in water distribution networks for contamination detection. An important question is how to identify the minimal number of require
Externí odkaz:
https://doaj.org/article/f5b8ee0a74154ac594603542fb196a5e
Publikováno v:
Environmental Challenges, Vol 13, Iss , Pp 100741- (2023)
Recommender systems continually impact multiple verticals by introducing automated intelligence to decision making. When applying such Artificial Intelligence (AI) tools to energy efficiency problems, a number of opportunities and challenges present
Externí odkaz:
https://doaj.org/article/0a4a8f2d54fd47b6902a6c451067e73d
Publikováno v:
Complex & Intelligent Systems, Vol 9, Iss 1, Pp 147-160 (2022)
Abstract Urban water infrastructures are an essential part of urban areas. For their construction and maintenance, major investments are required to ensure an efficient and reliable function. Vital parts of the urban water infrastructures are water d
Externí odkaz:
https://doaj.org/article/21d1c6bc560a407383c1b3fd1f74e388
Publikováno v:
Data in Brief, Vol 47, Iss , Pp 108985- (2023)
This data article describes a dataset collected in 2022 in a domestic household in the UK. The data provides appliance-level power consumption data and ambient environmental conditions as a timeseries and as a collection of 2D images created using Gr
Externí odkaz:
https://doaj.org/article/8c2ea2481fb34fb9b5bf3eddd902b59c
Publikováno v:
Journal of Hydroinformatics, Vol 24, Iss 3, Pp 610-621 (2022)
Pipe re-sizing of water distribution networks (WDNs) aims at improving the service performance to the required level, while minimizing the cost of replacing pipes in the network. The main challenge comes from the identification of the most effective
Externí odkaz:
https://doaj.org/article/00e4ddf341de47a38712c8209aceb3d4
Autor:
Kegong Diao
Publikováno v:
Aqua, Vol 70, Iss 4, Pp 449-466 (2021)
This paper shares a vision that sustainable water supply requires resilient water infrastructures which are presumably in the centralized control and decentralized execution (CCDE) mode with multiscale resilience. The CCDE should be planned based on
Externí odkaz:
https://doaj.org/article/c5500aa26741459796d38ef4bcb316a7
Autor:
David Butler, Sarah Ward, Chris Sweetapple, Maryam Astaraie‐Imani, Kegong Diao, Raziyeh Farmani, Guangtao Fu
Publikováno v:
Global Challenges, Vol 1, Iss 1, Pp 63-77 (2017)
Abstract Global threats such as climate change, population growth, and rapid urbanization pose a huge future challenge to water management, and, to ensure the ongoing reliability, resilience and sustainability of service provision, a paradigm shift i
Externí odkaz:
https://doaj.org/article/7fe4005cd4b84c8eb407798559a38de2
Publikováno v:
Cluster Computing. 26:1375-1387
The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link. With adverse industrial effects on the global landscape, climate change is imploring the global econom
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cb0f7bc94e47731d94b33431749d66ea
https://doi.org/10.1007/s10586-022-03704-1
https://doi.org/10.1007/s10586-022-03704-1
Autor:
Muhammad Jaleel, Omer Faruk Kucukler, Abdullah Alsalemi, Abbes Amira, Hossein Malekmohamadi, Kegong Diao
The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link. The notion of employing a Deep Learning (DL) for gas classification has kindled revolution in the fiel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::110541588fc71d57f43d4903d6019430
https://doi.org/10.1109/JSEN.2023.3243149
https://doi.org/10.1109/JSEN.2023.3243149
