%0 Journal Article %1 Hernandez2012Study %A Hernández, Luis %A Baladrón, Carlos %A Aguiar, Javier M. %A Calavia, Lorena %A Carro, Belén %A Sánchez-Esguevillas, Antonio %A Cook, Diane J. %A Chinarro, David %A Gómez, Jorge %D 2012 %J Sensors %K energy demand %N 9 %P 11571--11591 %R 10.3390/s120911571 %T A Study of the Relationship between Weather Variables and Electric Power Demand inside a Smart Grid/Smart World Framework %U http://dx.doi.org/10.3390/s120911571 %V 12 %X One of the main challenges of today's society is the need to fulfill at the same time the two sides of the dichotomy between the growing energy demand and the need to look after the environment. Smart Grids are one of the answers: intelligent energy grids which retrieve data about the environment through extensive sensor networks and react accordingly to optimize resource consumption. In order to do this, the Smart Grids need to understand the existing relationship between energy demand and a set of relevant climatic variables. All smart ” systems” (buildings, cities, homes, consumers, etc.) have the potential to employ their intelligence for self-adaptation to climate conditions. After introducing the Smart World, a global framework for the collaboration of these smart systems, this paper presents the relationship found at experimental level between a range of relevant weather variables and electric power demand patterns, presenting a case study using an agent-based system, and emphasizing the need to consider this relationship in certain Smart World (and specifically Smart Grid and microgrid) applications.

@article{Hernandez2012Study, abstract = {One of the main challenges of today's society is the need to fulfill at the same time the two sides of the dichotomy between the growing energy demand and the need to look after the environment. Smart Grids are one of the answers: intelligent energy grids which retrieve data about the environment through extensive sensor networks and react accordingly to optimize resource consumption. In order to do this, the Smart Grids need to understand the existing relationship between energy demand and a set of relevant climatic variables. All smart ” systems” (buildings, cities, homes, consumers, etc.) have the potential to employ their intelligence for self-adaptation to climate conditions. After introducing the Smart World, a global framework for the collaboration of these smart systems, this paper presents the relationship found at experimental level between a range of relevant weather variables and electric power demand patterns, presenting a case study using an agent-based system, and emphasizing the need to consider this relationship in certain Smart World (and specifically Smart Grid and microgrid) applications.}, added-at = {2018-06-18T21:23:34.000+0200}, author = {Hern\'{a}ndez, Luis and Baladr\'{o}n, Carlos and Aguiar, Javier M. and Calavia, Lorena and Carro, Bel\'{e}n and S\'{a}nchez-Esguevillas, Antonio and Cook, Diane J. and Chinarro, David and G\'{o}mez, Jorge}, biburl = {https://www.bibsonomy.org/bibtex/207fcfc4d6af0efee9b625099ad174615/pbett}, citeulike-article-id = {11176429}, citeulike-linkout-0 = {http://dx.doi.org/10.3390/s120911571}, citeulike-linkout-1 = {http://www.mdpi.com/1424-8220/12/9/11571}, citeulike-linkout-2 = {http://www.mdpi.com/1424-8220/12/9/11571/pdf}, comment = {(private-note)Don't really care about smart grids etc, but might be a good source of references on the weather--demand relationship. (open access)}, day = 27, doi = {10.3390/s120911571}, interhash = {8258c38518bf4759517a2e37c17a7e79}, intrahash = {07fcfc4d6af0efee9b625099ad174615}, issn = {1424-8220}, journal = {Sensors}, keywords = {energy demand}, month = aug, number = 9, pages = {11571--11591}, posted-at = {2013-04-09 11:20:38}, priority = {2}, timestamp = {2018-06-22T18:33:17.000+0200}, title = {A Study of the Relationship between Weather Variables and Electric Power Demand inside a Smart Grid/Smart World Framework}, url = {http://dx.doi.org/10.3390/s120911571}, volume = 12, year = 2012 }