Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Brice Valles"'
Publikováno v:
Journal of Modern Power Systems and Clean Energy, Vol 9, Iss 5, Pp 1161-1171 (2021)
Recent advancement in computational capabilities has accelerated the research and development of non-intrusive load disaggregation. Non-intrusive load monitoring (NILM) offers many promising applications in the context of energy efficiency and conser
Externí odkaz:
https://doaj.org/article/5f512f66f36b4439a538caef35133c3d
Publikováno v:
Highlights of Sustainability. 1:134-158
Disaggregated data is often used to model the cost-benefit of residential energy management systems. However, obtaining such data is time-intensive and monetarily expensive. This hinders the depth of analysis that can be done on these systems and neg
Publikováno v:
International Journal of Energy Research. 45:16262-16283
Publikováno v:
Journal of Modern Power Systems and Clean Energy, Vol 9, Iss 5, Pp 1161-1171 (2021)
Recent advancement in computational capabilities has accelerated the research and development of non-intrusive load disaggregation. Non-intrusive load monitoring (NILM) offers many promising applications in the context of energy efficiency and conser
Publikováno v:
IEEE Transactions on Instrumentation and Measurement. 69:751-759
One of the key techniques toward energy efficiency and conservation is nonintrusive load monitoring (NILM) which lies in the domain of energy monitoring. Event detection is a core component of event-based NILM systems. This paper proposes two new low
Publikováno v:
Energy and AI, Vol 3, Iss, Pp 100055-(2021)
With today's growth of prosumers and renewable energy resources, it is inevitable to incorporate the demand-side approaches for reliable and sustainable grid operation. In this context, demand response is a promising technique facilitating the consum
Autor:
Shafiqur Rahman Tito, Pieter Nieuwoudt, Attique Ur Rehman, Daud Ahmed, Neel Pandey, Brice Valles, Tek Tjing Lie
Publikováno v:
2020 IEEE International Conference on Power and Energy (PECon).
Non-intrusive load monitoring is widely appreciated technique for managing segregated-level energy-efficiency. Event detection algorithms play a crucial role in non-intrusive load monitoring applications. This paper proposes a new unsupervised hybrid
Publikováno v:
2020 International Conference on Smart Grids and Energy Systems (SGES).
The general modelling technique used for residential energy management systems and customer diversity present challenges when ascertaining the large-scale impact of these device on retail portfolio profit and risk. Consequently, the purpose of this r
Autor:
Brice Valles, Daud Ahmed, Tek Tjing Lie, Shafiqur Rahman Tito, Attique Ur Rehman, Pieter Nieuwoudt
Publikováno v:
2020 FORTEI-International Conference on Electrical Engineering (FORTEI-ICEE).
Artificial intelligence (AI) has received immense attention from the research community and the industry, leading to AI being adopted in many real-world applications. The growing trend of deploying AI has dramatically changed the ergonomics of modern
Publikováno v:
Inventions, Vol 5, Iss 57, p 57 (2020)
Inventions
Volume 5
Issue 4
Inventions
Volume 5
Issue 4
The recent advancement in computational capabilities and deployment of smart meters have caused non-intrusive load monitoring to revive itself as one of the promising techniques of energy monitoring. Toward effective energy monitoring, this paper pre