A novel electric load consumption prediction and feature selection model based on modified clonal selection algorithm

Author:

Avatefipour Omid1,Nafisian Amir2

Affiliation:

1. Department of Electrical and Computer Engineering, University of Michigan – Dearborn, Michigan, USA

2. Department of Electrical and Computer Engineering, Safashahr Branch, Islamic Azad University, Safashahr, Iran

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Reference46 articles.

1. Papari B. , Edrington C.S. , Vu T.V. , Diaz-Franco F. , A heuristic method for optimal energy management of DC microgrid, In DC Microgrids (ICDCM), 2017 IEEE Second International Conference on, IEEE, (2017), pp. 337–343.

2. One-hour-ahead load forecasting using neural network;Senjyu;IEEE Transactions on Power Systems,2002

3. An effective fuzzy feature selection and prediction method for modeling tidal current: A case of persian gulf;Papari;IEEE Transactions on Geoscience and Remote Sensing,2017

4. A new fuzzy based combined prediction interval for wind power forecasting;Kavousi-Fard;IEEE Trans Power System,2016

5. Short-term load forecasting based on a semi-parametric additive model;Fan;IEEE Transactions on Power Systems,2012

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