Electricity Load Forecasting in Smart Grids Using Support Vector Machine-Reference-Cited by-同舟云学术

Electricity Load Forecasting in Smart Grids Using Support Vector Machine

Published:2019-03-15 Issue: Volume: Page:1-13
ISSN:2194-5357
Container-title:Advanced Information Networking and Applications
language:
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Author:

Ayub Nasir,Javaid Nadeem,Mujeeb Sana,Zahid Maheen,Khan Wazir Zada,Khattak Muhammad Umar

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-15032-7_1

Reference24 articles.

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3. Iqbal, Z., Javaid, N., Mohsin, S., Akber, S., Afzal, M., Ishmanov, F.: Performance analysis of hybridization of heuristic techniques for residential load scheduling. Energies 11(10), 2861 (2018)

4. Rahim, M.H., Javaid, N., Shafiq, S., Iqbal, M.N., Khalid, M.U., Memon, U.U.: Exploiting heuristic techniques for efficient energy management system in smart grid. In: 2018 14th International Wireless Communications and Mobile Computing Conference (IWCMC), pp. 54–59. IEEE (2018)

5. Xiang-ting, C., Yu-hui, Z., Wei, D., Jie-bin, T., Yu-xiao, G.: Design of intelligent demand side management system respond to varieties of factors. In: 2010 China International Conference on Electricity Distribution (CICED), pp. 1–5. IEEE (2010)

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