Zobrazeno 1 - 10
of 79
pro vyhledávání: '"Thomas Morstyn"'
Publikováno v:
Data in Brief, Vol 54, Iss , Pp 110483- (2024)
The growing demand for electrified heating, electrified transportation, and power-intensive data centres challenge distribution networks. If electrification projects are carried out without considering electrical distribution infrastructure, there co
Externí odkaz:
https://doaj.org/article/c0fef3b4faa8498ea0c73442dfc234c8
Publikováno v:
MethodsX, Vol 12, Iss , Pp 102618- (2024)
In this paper, we present the Home Electricity Data Generator (HEDGE), an open-access tool for the random generation of realistic residential energy data. HEDGE generates realistic daily profiles of residential PV generation, household electric loads
Externí odkaz:
https://doaj.org/article/b4f28cfdbed140a1a9d253ea75d2aa97
Publikováno v:
iScience, Vol 27, Iss 2, Pp 108854- (2024)
Summary: Fuel poverty, a pressing issue affecting social prosperity, has been exacerbated during the energy crisis triggered by the Russia-Ukraine conflict. This problem can be more severe for off-gas regions. Our study investigates heat pumps (HPs)
Externí odkaz:
https://doaj.org/article/ce8a390a755e490d8367a123dc0e97df
Autor:
Weiqi Hua, Fengji Luo, Liang Du, Sijie Chen, Taesic Kim, Thomas Morstyn, Valentin Robu, Yue Zhou
Publikováno v:
IET Smart Grid, Vol 5, Iss 4, Pp 219-222 (2022)
Externí odkaz:
https://doaj.org/article/342515c04a704cc8bd2a238f8aca57f3
Publikováno v:
IET Generation, Transmission & Distribution, Vol 16, Iss 10, Pp 2049-2062 (2022)
Abstract Distributed Generators that use reactive power for voltage control in distribution networks reduce renewable curtailment but can significantly increase network losses, undermining the effectiveness of this control. This paper proposes Voltag
Externí odkaz:
https://doaj.org/article/5575904bdda041c3afcf6c70152faf1e
Publikováno v:
IET Smart Grid (2020)
This study proposes a method of coordinating electric vehicle charging to reduce losses in a distribution system, using only knowledge of the phase that each charger is connected to. Reducing network losses cuts costs and can be achieved through dema
Externí odkaz:
https://doaj.org/article/ba11b505daac4bae96265375bb921cc0
Publikováno v:
IEEE Transactions on Smart Grid. 14:798-809
We present a new privacy-preserving probabilistic forecasting of nodal voltage levels in renewable energy communities.
Autor:
Thomas Morstyn
Publikováno v:
Morstyn, T 2023, ' Annealing-based Quantum Computing for Combinatorial Optimal Power Flow ', IEEE Transactions on Smart Grid, vol. 14, no. 2, pp. 1093-1102 . https://doi.org/10.1109/TSG.2022.3200590
This paper proposes the use of annealing-based quantum computing for solving combinatorial optimal power flow problems. Quantum annealers provide a physical computing platform which utilises quantum phase transitions to solve specific classes of comb
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6d57cba2ec0abb1572ebf7859966f19a
https://hdl.handle.net/20.500.11820/caaa6d55-2eac-4067-b535-47000aea8b02
https://hdl.handle.net/20.500.11820/caaa6d55-2eac-4067-b535-47000aea8b02
Publikováno v:
IEEE Transactions on Power Systems. :1-10
Publikováno v:
Lecture Notes in Energy ISBN: 9783031214011
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f48be5e4426dbd9eb42b0477bc7b52cd
https://doi.org/10.1007/978-3-031-21402-8_3
https://doi.org/10.1007/978-3-031-21402-8_3