A Study of the Relationship between Weather Variables and Electric Power Demand inside a Smart Grid/Smart World Framework

Sensors

Luis Hernández²  Carlos Baladrón¹  Javier M. Aguiar¹  Lorena Calavia¹  Belén Carro¹  Antonio Sánchez-Esguevillas¹  Diane J. Cook³  David Chinarro⁴ 

[1] Dpto. TSyCeIT, ETSIT, Universidad de Valladolid, Paseo de Belén 15, 47011 Valladolid, Spain; E-Mails:;CIEMAT (CEDER), Autovía de Navarra A15, salida 56, 42290 Lubia (Soria), Spain;School of Electrical Engineering and Computer Science, Washington State University, Pullman, WA 99164, USA; E-Mail:;Escuela de Ingeniería Informática, Universidad de San Jorge, Campus del Parque Tecnológico Walqa, 22197 Cuarte, (Huesca), Spain; E-Mail:

关键词: Smart Grid;    microgrid;    Smart City;    Smart Environment;    Smart World;    weather variables;    electric power demand;    sensor;   

DOI  :  10.3390/s120911571

来源: mdpi

【 摘 要 】

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.

【 授权许可】

CC BY   
© 2012 by the authors; licensee MDPI, Basel, Switzerland.