An automated energy management system in a smart grid context
The ongoing transformation of electric grids into smart grids provides the technological basis to implement demand-sensitive pricing strategies aimed at using the electric power infrastructure more efficiently. These strategies, also designated by demand response [1], already proved to be effective...
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Institute of Electrical and Electronics Engineers (IEEE)
2013
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Online Access: | http://hdl.handle.net/1721.1/82546 https://orcid.org/0000-0003-2776-4900 |
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author | Lopes, M. Antunes, C. H. Soares, A. R. Carreiro, A. Rodrigues, F. Neves, L. Jorge, H. Gomes, A. Martins, A. G. Dias, L. Pereirinha, P. Trovao, J. P. Monica, A. Oliveira, M. Breda, S. J. Viegas, R. Peixoto, P. Livengood, Daniel James Larson, Richard Charles Leow, Woei Ling |
author2 | Massachusetts Institute of Technology. Engineering Systems Division |
author_facet | Massachusetts Institute of Technology. Engineering Systems Division Lopes, M. Antunes, C. H. Soares, A. R. Carreiro, A. Rodrigues, F. Neves, L. Jorge, H. Gomes, A. Martins, A. G. Dias, L. Pereirinha, P. Trovao, J. P. Monica, A. Oliveira, M. Breda, S. J. Viegas, R. Peixoto, P. Livengood, Daniel James Larson, Richard Charles Leow, Woei Ling |
author_sort | Lopes, M. |
collection | MIT |
description | The ongoing transformation of electric grids into smart grids provides the technological basis to implement demand-sensitive pricing strategies aimed at using the electric power infrastructure more efficiently. These strategies, also designated by demand response [1], already proved to be effective in altering patterns of electricity usage [2-6], and create benefits not only for end users (by lowering their electricity bill without degrading comfort levels), but also for the utilities (by managing the peak, flattening the aggregate demand curve, and meeting supply with demand) and the environment (by avoiding, or delaying, building new generation units and other network infrastructures). In fact, demand-sensitive pricing of electricity is expected to become the standard pricing mechanism in smart grids [3, 7, 8] and is considered essential to accelerate the deployment of variable renewable generation while maintaining electric system security and reliability at least cost [9]. |
first_indexed | 2024-09-23T15:00:43Z |
format | Article |
id | mit-1721.1/82546 |
institution | Massachusetts Institute of Technology |
language | en_US |
last_indexed | 2024-09-23T15:00:43Z |
publishDate | 2013 |
publisher | Institute of Electrical and Electronics Engineers (IEEE) |
record_format | dspace |
spelling | mit-1721.1/825462022-10-01T23:57:40Z An automated energy management system in a smart grid context Lopes, M. Antunes, C. H. Soares, A. R. Carreiro, A. Rodrigues, F. Neves, L. Jorge, H. Gomes, A. Martins, A. G. Dias, L. Pereirinha, P. Trovao, J. P. Monica, A. Oliveira, M. Breda, S. J. Viegas, R. Peixoto, P. Livengood, Daniel James Larson, Richard Charles Leow, Woei Ling Massachusetts Institute of Technology. Engineering Systems Division Larson, Richard Charles Livengood, Daniel James Larson, Richard Charles Leow, Woei Ling The ongoing transformation of electric grids into smart grids provides the technological basis to implement demand-sensitive pricing strategies aimed at using the electric power infrastructure more efficiently. These strategies, also designated by demand response [1], already proved to be effective in altering patterns of electricity usage [2-6], and create benefits not only for end users (by lowering their electricity bill without degrading comfort levels), but also for the utilities (by managing the peak, flattening the aggregate demand curve, and meeting supply with demand) and the environment (by avoiding, or delaying, building new generation units and other network infrastructures). In fact, demand-sensitive pricing of electricity is expected to become the standard pricing mechanism in smart grids [3, 7, 8] and is considered essential to accelerate the deployment of variable renewable generation while maintaining electric system security and reliability at least cost [9]. 2013-11-22T16:13:41Z 2013-11-22T16:13:41Z 2012-05 Article http://purl.org/eprint/type/ConferencePaper 978-1-4673-2004-7 978-1-4673-2003-0 978-1-4673-2002-3 http://hdl.handle.net/1721.1/82546 Lopes, M., C. H. Antunes, A. R. Soares, A. Carreiro, F. Rodrigues, D. Livengood, L. Neves, et al. “An automated energy management system in a smart grid context.” In 2012 IEEE International Symposium on Sustainable Systems and Technology (ISSST), 1-1. Institute of Electrical and Electronics Engineers, 2012. https://orcid.org/0000-0003-2776-4900 en_US http://dx.doi.org/10.1109/ISSST.2012.6227983 Proceedings of the 2012 IEEE International Symposium on Sustainable Systems and Technology (ISSST) Creative Commons Attribution-Noncommercial-Share Alike 3.0 http://creativecommons.org/licenses/by-nc-sa/3.0/ application/pdf Institute of Electrical and Electronics Engineers (IEEE) Prof. Larson via Angie Locknar |
spellingShingle | Lopes, M. Antunes, C. H. Soares, A. R. Carreiro, A. Rodrigues, F. Neves, L. Jorge, H. Gomes, A. Martins, A. G. Dias, L. Pereirinha, P. Trovao, J. P. Monica, A. Oliveira, M. Breda, S. J. Viegas, R. Peixoto, P. Livengood, Daniel James Larson, Richard Charles Leow, Woei Ling An automated energy management system in a smart grid context |
title | An automated energy management system in a smart grid context |
title_full | An automated energy management system in a smart grid context |
title_fullStr | An automated energy management system in a smart grid context |
title_full_unstemmed | An automated energy management system in a smart grid context |
title_short | An automated energy management system in a smart grid context |
title_sort | automated energy management system in a smart grid context |
url | http://hdl.handle.net/1721.1/82546 https://orcid.org/0000-0003-2776-4900 |
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