Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Tianhe Sun"'
Publikováno v:
Energy Reports, Vol 9, Iss , Pp 478-484 (2023)
At present, the large-scale development of renewable energy is restricted by the absorption problem. The electric-hydrogen technology becomes a new flexible resource for coupling electric energy, heat energy and other kinds of energy by absorbing aba
Externí odkaz:
https://doaj.org/article/40fc7f02a5674b5d93255f887f4905cd
Autor:
Tianhe Sun
Publikováno v:
Irish Journal of Technology Enhanced Learning, Vol 7, Iss 2 (2023)
This paper investigates the potential use of generative AI in ESL Writing Assessment, particularly in IELTS Writing Tasks. The first part introduces the author’s relationship with generative AI in the educational setting, and why the author chooses
Externí odkaz:
https://doaj.org/article/253b82c9aef1445e9ae26836e78c3862
Publikováno v:
IEEE Access, Vol 11, Pp 49183-49192 (2023)
Fault detection based on $k$ -nearest neighbor (FD- $k$ NN) is one of the most widespread fault detection techniques for industrial processes under complex working conditions, owing to its characteristic of local modeling. However, its state separati
Externí odkaz:
https://doaj.org/article/88529691ec1f4fdaa0141289854692b6
Publikováno v:
Water Alternatives, Vol 14, Iss 2, Pp 371-394 (2021)
The Seasonal Land Fallowing Policy (SLFP), designed to mitigate serious groundwater overdraft in the North China Plain, was introduced in Hebei Province in 2014. This paper offers a comprehensive review and assessment of its implementation status, ef
Externí odkaz:
https://doaj.org/article/112188166f8e41ddba2cd5db3cdc3733
Publikováno v:
Agronomy, Vol 12, Iss 12, p 3062 (2022)
The overall goal of this study was to examine the impacts of climate change on the mean and variance of rice yields in China by using historical climate and crop data. An econometric model was established to estimate Just–Pope stochastic production
Externí odkaz:
https://doaj.org/article/44bb79eb97bb4964a80af401e7db91df
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems. :1-12
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0dae1ab6262a93a5d169040840350921
https://doi.org/10.1109/tnnls.2023.3261363
https://doi.org/10.1109/tnnls.2023.3261363
Publikováno v:
Water Markets ISBN: 9781788976930
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::abff8be72e798082868bdfe2c7a9ebee
https://doi.org/10.4337/9781788976930.00013
https://doi.org/10.4337/9781788976930.00013
Publikováno v:
Mathematical Problems in Engineering, Vol 2019 (2019)
With the rapid development and wide application of distributed generation technology and new energy trading methods, the integrated energy system has developed rapidly in Europe in recent years and has become the focus of new strategic competition an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::273ef1e66a058ea4c920b4876d22598f
https://doi.org/10.1155/2019/9012543
https://doi.org/10.1155/2019/9012543
Publikováno v:
2021 China International Conference on Electricity Distribution (CICED).
With the development of economy, how to use energy efficiently and reduce the cost of energy has become an urgent problem. Different energy systems are planned and operated separately without coordination and linkage. Although cogeneration technology
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0c09718938381016b2b85b59806fc6af
https://doi.org/10.1109/ciced50259.2021.9556827
https://doi.org/10.1109/ciced50259.2021.9556827
Publikováno v:
2021 China International Conference on Electricity Distribution (CICED).
The regional energy system uses the coupling of multiple energy systems to replace the independent operation of the traditional single energy system, effectively reducing primary energy consumption and carbon emissions.However, with the increase of w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1ab392c124866793aa9960a201f4a299
https://doi.org/10.1109/ciced50259.2021.9556770
https://doi.org/10.1109/ciced50259.2021.9556770