Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Kaveh Khalilpour"'
Publikováno v:
Sustainable Futures, Vol 8, Iss , Pp 100285- (2024)
The complexity of a sustainable economy is rooted in its socio-economic and environmental intricacies, particularly in formulating pathways for the harmonious integration of these parameters. This study introduces an extended input-output analysis an
Externí odkaz:
https://doaj.org/article/02e0145d77874f7e9438a6f236bc722d
Publikováno v:
Energy and Built Environment, Vol 4, Iss 4, Pp 377-385 (2023)
The philosophy of building energy management is going through a paradigm change from traditional, often inefficient, user-controlled systems to one that is centrally automated with the aid of IoT-enabled technologies. In this context, occupants’ pe
Externí odkaz:
https://doaj.org/article/ca62549ba3384bd6b252d744a1cb6afe
Autor:
Amin Mahmoudi, Rahmatollah Khezri, Ali Bidram, Mohammad Khooban, Hirohisa Aki, Kaveh Khalilpour, Hussein Abdeltawab, S. M. Muyeen
Publikováno v:
IET Generation, Transmission & Distribution, Vol 17, Iss 8, Pp 1687-1689 (2023)
Externí odkaz:
https://doaj.org/article/5046c5bf475847c987a2ef14a41a283b
Publikováno v:
Energies, Vol 17, Iss 4, p 914 (2024)
A circular economy involves managing and reducing the environmental and social impacts of products and materials throughout their entire lifecycle, from production to end of life, including clean energy technologies. The remarkable growth of wind tur
Externí odkaz:
https://doaj.org/article/a8edb7994a0f4d1f8d32b5de37718845
Autor:
Sara Tavakoli, Kaveh Khalilpour
Publikováno v:
Energies, Vol 14, Iss 16, p 4880 (2021)
The emergence of smart sensors has had a significant impact on the utility industry. In particular, it has made the planning and implementation of demand-side management (DSM) programmes easier. Nevertheless, for various reasons, some users may not i
Externí odkaz:
https://doaj.org/article/3ce9a8fd83d14abfad72bba6047727a8
This paper presents an improved SOC estimation method for lithium ion batteries in Electric Vehicles using Bayesian optimized feedforward network. This innovative bayesian optimized neural network method attempts to minimize a scalar objective functi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4ed2b7bd26968137c750ba80db9e4edc
https://doi.org/10.20944/preprints202304.0203.v4
https://doi.org/10.20944/preprints202304.0203.v4
Publikováno v:
2022 IEEE PES 14th Asia-Pacific Power and Energy Engineering Conference (APPEEC).
Publikováno v:
Energy Conversion and Management. 287:117010
Publikováno v:
International Journal of Critical Infrastructure Protection. 41:100600