Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Yiru Dai"'
Publikováno v:
Applied Sciences, Vol 14, Iss 18, p 8277 (2024)
Analyzing the carbon emission behavior of a regional integrated energy system (RIES) is crucial for aligning with carbon-peaking development strategies and ensuring compliance with carbon-peaking implementation pathways. This study focuses on a build
Externí odkaz:
https://doaj.org/article/4f9f1c0c83b244bc8377d6c9a35903fd
Publikováno v:
Energy Strategy Reviews, Vol 52, Iss , Pp 101352- (2024)
In order to efficiently mitigate greenhouse gas emissions at the global level, renewables have emerged to help build a less carbon-intensive and more sustainable energy system worldwide. The competition between renewables and conventional fossil fuel
Externí odkaz:
https://doaj.org/article/c793bebfd0524b558dcdb330569732a3
Autor:
Hongsheng Zhang, Ting Wang, Yuhan Zhang, Yiru Dai, Jiangjie Jia, Chang Yu, Gang Li, Yinyi Lin, Hui Lin, Yang Cao
Publikováno v:
Sensors, Vol 18, Iss 12, p 4319 (2018)
Short-term characteristics of urban land cover change have been observed and reported from satellite images, although urban landscapes are mainly influenced by anthropogenic factors. These short-term changes in urban areas are caused by rapid urbaniz
Externí odkaz:
https://doaj.org/article/7b0e8805fa0b4221a596ab955476dcf4
Publikováno v:
Optimization and Engineering. 22:2403-2427
Numerous decision-making problems are expressed in the form of uncertain linguistic variables in real life. Expressing qualitative decision-making information in quantitative form can make the decision making process clearer and simpler. In this pape
Publikováno v:
SSRN Electronic Journal.
Publikováno v:
Energy. 260:125129
Publikováno v:
2021 IEEE 4th International Conference on Power and Energy Applications (ICPEA).
Autor:
Feixiang Liu, Yiru Dai
Publikováno v:
Computational intelligence and neuroscience. 2022
With the rapid development of machine learning technology, how to use machine learning technology to empower the manufacturing industry has become a research hotspot. In order to solve the problem of product quality classification in a small sample d
Publikováno v:
2021 4th International Conference on Energy, Electrical and Power Engineering (CEEPE).
As we know, the wide utilization of learning curve (or experience curve) in renewable technological learning has currently attracted remarkable interest in industry and academic community. Among various formulations of learning curve, a component-bas
Publikováno v:
2021 6th Asia Conference on Power and Electrical Engineering (ACPEE).
Learning curve has become one of the most impactful tools for energy planner to study the techno-economic aspect of emerging renewable technology over the last decades. This work explores the self-similarity feature of renewable technology and presen