Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Chris Ogwumike"'
Publikováno v:
Energies, Vol 14, Iss 18, p 5947 (2021)
Advances in metering technologies and emerging energy forecast strategies provide opportunities and challenges for predicting both short and long-term building energy usage. Machine learning is an important energy prediction technique, and is signifi
Externí odkaz:
https://doaj.org/article/d255eed80fe64b41b0e8cea06a307180
Publikováno v:
Energies, Vol 9, Iss 1, Pp 6-0 (2015)
Many new demand response strategies are emerging for energy management in smart grids. Real-Time Energy Pricing (RTP) is one important aspect of consumer Demand Side Management (DSM), which encourages consumers to participate in load scheduling. This
Externí odkaz:
https://doaj.org/article/75dfb80d7fba43f9b4523e94f52d3c37
Publikováno v:
Electronics, Vol 11, Iss 101, p 101 (2022)
Electronics; Volume 11; Issue 1; Pages: 101
Electronics; Volume 11; Issue 1; Pages: 101
The advancement in battery manufacturing has played a significant role in the use of batteries as a cost-effective energy storage system. This paper proposes an optimal charging and discharging strategy for the battery energy storage system deployed
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a31a4390a6bdad510243e0dc0842baa9
https://www.mdpi.com/2079-9292/11/1/101
https://www.mdpi.com/2079-9292/11/1/101
Autor:
Tariq G. Ahmed, Bjarnhedinn Gudlaugsson, Chris Ogwumike, Huda Dawood, Michael Short, Nashwan Dawood
Publikováno v:
Energy and Buildings. 286:112967
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::24a832de6a88ad6d6f7a01607a052d64
https://doi.org/10.1016/j.enbuild.2023.112967
https://doi.org/10.1016/j.enbuild.2023.112967
Autor:
Bjarnhedinn Gudlaugsson, Tariq G. Ahmed, Huda Dawood, Chris Ogwumike, Michael Short, Nashwan Dawood
Publikováno v:
Cleaner Energy Systems. :100071
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::79c85d916aaaffa222dbdaca2eb8c875
https://doi.org/10.1016/j.cles.2023.100071
https://doi.org/10.1016/j.cles.2023.100071
Publikováno v:
The 9th Annual Edition of Sustainable Places (SP 2021).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::df4bce8f96b39f3af3edd1ef9b73ad3b
https://doi.org/10.3390/environsciproc2021011015
https://doi.org/10.3390/environsciproc2021011015
Publikováno v:
Teesside University
This paper presents an assessment of the impacts of the different tools implemented within the inteGRIDy project through the analysis of key performance indicators (KPIs) that appropriately reflect the technical and economic domains of the inteGRIDy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a65d25330c5645fc702364f55e20e0a6
https://doi.org/10.3390/environsciproc2021011023
https://doi.org/10.3390/environsciproc2021011023
Publikováno v:
Energies
Volume 14
Issue 18
Energies, Vol 14, Iss 5947, p 5947 (2021)
Volume 14
Issue 18
Energies, Vol 14, Iss 5947, p 5947 (2021)
Advances in metering technologies and emerging energy forecast strategies provide opportunities and challenges for predicting both short and long-term building energy usage. Machine learning is an important energy prediction technique, and is signifi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::223fa620b41f45b5c1c789870587ada5
https://doi.org/10.3390/en14185947
https://doi.org/10.3390/en14185947
Publikováno v:
2016 International Conference for Students on Applied Engineering (ISCAE).
Electric utilities are increasingly incorporating Demand Side Management (DSM) approaches in their energy networks to help compensate for increased levels of uncertainty arising from renewable energy production. Demand Response (DR) is one such appro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::499c0e11e3e766dd631f5e4892d98e29
https://doi.org/10.1109/icsae.2016.7810195
https://doi.org/10.1109/icsae.2016.7810195
Publikováno v:
2016 IEEE 21st International Conference on Emerging Technologies and Factory Automation (ETFA)
ETFA
ETFA
Demand Response (DR) is seen as one of the key enabling factors in the emerging smart grid. DR takes many forms, including residential smart appliance scheduling. Scheduling algorithms capable of achieving near-minimum cost solutions with low computa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1021f0ee34c38e5a79b4bd5a882c71cd