Zobrazeno 1 - 9
of 9
pro vyhledávání: '"R. M. Rylatt"'
Autor:
R. M. Rylatt, Vijayanarasimha H. Pakka
Publikováno v:
Energies; Volume 9; Issue 2; Pages: 101
Energies, Vol 9, Iss 2, p 101 (2016)
Energies, Vol 9, Iss 2, p 101 (2016)
We present a framework for the design and simulation of electrical distribution systems and short term electricity markets specific to the UK. The modelling comprises packages relating to the technical and economic features of the electrical grid. Th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::be130a95b933a0ae34ac59de60d5b504
Project name is AMEN from Agent-based Modelling of Electricity Networks. The UK Government introduced the tariff-based domestic Renewable Heat Incentive (RHI) in April 2014 to encourage installation of renewable heat technologies as a key component o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a390fca4de73b9c8469fe97ac04bf0bf
https://doi.org/10.1016/j.enpol.2015.05.008
https://doi.org/10.1016/j.enpol.2015.05.008
Autor:
R. M. Rylatt, C. A. Czarnecki
Publikováno v:
Neural Processing Letters. 12:145-158
This paper identifies a problem of significance for approaches to adaptive autonomous agent research seeking to go beyond reactive behaviour without resorting to hybrid solutions. The feasibility of recurrent neural network solutions are discussed an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b5ddadfd4a2fbfc6c8644c204499af57
https://doi.org/10.1023/a:1009645229062
https://doi.org/10.1023/a:1009645229062
Publikováno v:
2012 9th International Conference on the European Energy Market.
This work focuses on modelling the electricity trading and market mechanism currently in place in the UK, using an agent-based approach and a learning strategy for the agents to update their bidding rules. The ongoing consultations by the Department
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::52d95196de4b35d6c577c19b65af49d3
https://doi.org/10.1109/eem.2012.6254760
https://doi.org/10.1109/eem.2012.6254760
Autor:
Peter John Boait, R. M. Rylatt
Complex, inconvenient and badly arranged push buttons and menus on domestic heating controls often cause users to enter unsuitable settings that result in impaired comfort and poor operating efficiency. This paper proposes a novel approach to the hum
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a63ef42f30b1154e4664a64fddeb31f6
https://doi.org/10.1016/j.enbuild.2009.07.005
https://doi.org/10.1016/j.enbuild.2009.07.005
As the penetration of weather-dependent embedded generation grows, the variations in apparent demand experienced by distribution network operators will become more extreme. A method for the autonomous control of domestic electricity demand and microg
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8cd62760117c450f1949b223cf6f304e
https://doi.org/10.1016/j.apenergy.2006.09.001
https://doi.org/10.1016/j.apenergy.2006.09.001
Despite government targets that imply 400,000 installed microCombined Heat and Power (microCHP) units by 2010, market penetration is as yet negligible in the UK. This paper reports new experimental data to underpin decisions affecting the uptake of t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::618ef27da97c11c5e5b3377643dce3b3
https://doi.org/10.1016/j.enbuild.2005.11.008
https://doi.org/10.1016/j.enbuild.2005.11.008
This paper reviews existing bottom-up approaches to the urban scale prediction of domestic energy demand and introduces a new approach based on Geographical Information Systems (GIS). It describes how software tools can be used to derive predictors f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::80bec70ebddfec07ca38c7e529de4d8c
Autor:
W. Turrentine Jackson, R. M. Rylatt
Publikováno v:
The Western Historical Quarterly. 24:273
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3df48f6c10216b655760e26abc90283b
https://doi.org/10.2307/970970
https://doi.org/10.2307/970970