Charging Load Forecasting for Electric Vehicles Based on Fuzzy Inference-Reference-Cited by-同舟云学术

Charging Load Forecasting for Electric Vehicles Based on Fuzzy Inference

Published:2014 Issue: Volume: Page:585-594
ISSN:1865-0929
Container-title:Communications in Computer and Information Science
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Author:

Jingwei Yang,Diansheng Luo,Shuang Yang,Shiyu Hu

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-662-45643-9_62

Reference16 articles.

1. Zhang, W., Wu, B., Li, W., Lai, X.: Discussion on Development Trend of Battery Electric Vehicles in China and Its Energy Supply Mode. Power System Technology 33(4), 1–5 (2009)

2. Xin, H.: The development of low carbon economy and electric vehicles: trends and counter measures. China Opening Herald (5), 31–35 (2009)

3. Hu, Z., Song, Y., Xu, Z.: Impacts and Utilization of Electric Vehicles Integration Into Power Systems. Proceedings of the CSEE 32(4), 1–10 (2012)

4. Tian, L., Shi, S., Jia, Z.: A Statistical Model for Charging Power Demand of Electric Vehicles. Power System Technology 11, 126–130 (2010)

5. Tikka, V., Lassila, J., Haakana, J., Partanen, J. (eds.): Case study of the effects of electric vehicle charging on grid loads in an urban area. In: 2nd IEEE PES International Conference and Exhibition on Innovative Smart Grid Technologies (ISGT Europe). IEEE (2011)

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