Smart consumer load balancing: state of the art and an empirical evaluation in the Spanish electricity market
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Linguistics and Language,Language and Linguistics
Link
http://link.springer.com/content/pdf/10.1007/s10462-012-9391-6.pdf
Reference26 articles.
1. Conejo AJ, Morales JM, Baringo L (2010) Real-time demand response model. IEEE Trans Smart Grid 1(3):236–242
2. Fundación de la Energía de la Comunidad de Madrid (ed) (2009) Guía del Vehículo Eléctrico. FENERCOM
3. Gottwalt S, Ketter W, Block C, Collins J, Weinhardt C (2011) Demand side management—a simulation of household behavior under variable prices. Energy Policy 39(12):8163–8174
4. Hernandez Neto A, Sanzovo Fiorelli FA (2008) Comparison between detailed model simulation and artificial neural network for forecasting building energy consumption. Energy Build 40:2169–2176
5. Hubert T, Grijalva S (2011) Realizing smart grid benefits requires energy optimization algorithms at residential level. In: Proceedings of the innovative smart grid technologies conference (ISGT 2011), pp 1–8
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