Zobrazeno 1 - 10
of 69
pro vyhledávání: '"J.K. Gruber"'
Publikováno v:
Revista Iberoamericana de Automática e Informática Industrial RIAI, Vol 5, Iss 3, Pp 37-47 (2008)
Resumen: Este trabajo muestra la aplicación de una estrategia de control predictivo llÚn-máx basado en modelos (Min-Max Model Predictive Control, MMMPC) a una planta piloto en la que se controla la temperatura de un reactor. Para calcular la acci
Externí odkaz:
https://doaj.org/article/00f22cf688c942e19b84185ebbf55e13
Autor:
J.K. Gruber, Barry Hayes, Igor Melatti, Federico Mari, Milan Prodanovic, Toni Mancini, Enrico Tronci, Ivano Salvo, Lars Elmegaard
Publikováno v:
SmartGridComm
By using small computing devices deployed at user premises, Autonomous Demand Response (ADR) adapts users electricity consumption to given time-dependent electricity tariffs. This allows end-users to save on their electricity bill and Distribution Sy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f8b4c194f74185896d845170fb6aa5e2
http://arxiv.org/abs/2106.10692
http://arxiv.org/abs/2106.10692
Publikováno v:
IEEE Industry Applications Magazine. 22:18-26
Recently, the topic of grid integration of distributed energy resources (DERs) has been closely linked with developments in power electronics research. The experimental evaluation of control strategies for power interfaces usually requires a signific
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e2ca8901bf9ace4f4d3e66ff826215f6
https://doi.org/10.1109/mias.2015.2459091
https://doi.org/10.1109/mias.2015.2459091
This paper deals with the short-term forecasting of electrical energy demands at the local level, incorporating advanced metering infrastructure (AMI), or ‘smart meter’ data. It provides a study of the effects of aggregation on electrical energy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::51a4dea264b199fe7c3ad72dccd18ce6
https://hdl.handle.net/10468/8118
https://hdl.handle.net/10468/8118
Publikováno v:
Applied Energy. 160:194-205
The continuous increase in energy demand and the integration of a large number of renewable energy sources with intermittent production require an advanced energy management to guarantee an uninterrupted supply. Deployment of smart meters in wide are
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f55ffa9d2b6ef18674fb03e35db568c7
https://doi.org/10.1016/j.apenergy.2015.09.049
https://doi.org/10.1016/j.apenergy.2015.09.049
Publikováno v:
Energy Procedia. 83:216-225
In modern societies buildings largely contribute to the energy demand and account in some countries for up to 45% of the primary energy consumption. Detailed consumption data can be used to offer advanced services and provide new business opportuniti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9d6d1a7153d9072fa20c571151ad33be
Publikováno v:
IEEE Transactions on Smart Grid. 6:2116-2125
This paper discusses the design and simulation of an integrated load forecasting and state estimation tool for distribution system operations. A predictive database is created and applied to forecast future network states in order to allow short-term
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8cc585374ff72c0cfd30f139569b9ec3
https://doi.org/10.1109/tsg.2014.2378035
https://doi.org/10.1109/tsg.2014.2378035
Publikováno v:
e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid
instname
instname
The increasing trends of energy demand and renewable integration call for new and advanced approaches to energy management and energy balancing in power networks. Utilities and network system operators require more assistance and flexibility shown fr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ec9d72b327c396dc7986af16fcfd6a5c
http://hdl.handle.net/10379/6529
http://hdl.handle.net/10379/6529
Publikováno v:
International Journal of Robust and Nonlinear Control. 25:3546-3571
Summary In model predictive control (MPC), the input sequence is computed, minimizing a usually quadratic cost function based on the predicted evolution of the system output. In the case of nonlinear MPC (NMPC), the use of nonlinear prediction models
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c159d5dd53bf80e2b0a42c6aaf3d3213
https://doi.org/10.1002/rnc.3279
https://doi.org/10.1002/rnc.3279
Publikováno v:
International Journal of Electrical Power & Energy Systems
Detailed residential energy consumption data can be used to offer advanced services and provide new business opportunities to all participants in the energy supply chain, including utilities, distributors and customers. The increasing interest in the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ca54e51233eb79715eb13721b35e5212
https://doi.org/10.1016/j.ijepes.2014.04.008
https://doi.org/10.1016/j.ijepes.2014.04.008