RT info:eu-repo/semantics/article T1 A study of the relationship between weather variables and electric power demand inside a smart grid/smart world framework A1 Hernández Callejo, Luis A1 Baladrón García, Carlos A1 Aguiar Pérez, Javier Manuel A1 Calavia, Lorena A1 Carro Martínez, Belén A1 Sánchez Esguevillas, Antonio Javier A1 Cook, Diane J. A1 Chinarro, David A1 Gómez Sanz, Jorge K1 Smart grid K1 Microgrid K1 Smart city K1 Smart environment K1 Smart world K1 Electric power demand K1 33 Ciencias Tecnológicas AB 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. PB MDPI SN 1424-8220 YR 2012 FD 2012 LK https://uvadoc.uva.es/handle/10324/57647 UL https://uvadoc.uva.es/handle/10324/57647 LA eng NO Sensors, 2012, vol. 12, n. 9, p. 11571-11591 NO Producción Científica DS UVaDOC RD 18-nov-2024