Near Real-Time Load Forecasting of Power System Using Fuzzy Time Series, Artificial Neural Networks, and Wavelet Transform Models

Author:

Khatoon Shahida1,Ibraheem 1,Shahid Mohammad2,Sharma Gulshan3,Çelik Emre4,Bekiroğlu Erdal5,Ahmer Mohammad Faraz6,Priti 7

Affiliation:

1. Department of Electrical Engineering, Faculty of Engineering and Technology, Jamia Millia Islamia, New Delhi, India

2. Department of Electrical Engineering, Galgotias College of Engineering and Technology, Greater Noida, India

3. Department of Electrical Engineering Technology, University of Johannesburg, South Africa

4. Department of Electrical and Electronics Engineering, Faculty of Engineering, Duzce University, Düzce, Turkey

5. Department of Electrical & Electronics Engineering, Faculty of Engineering, Bolu Abant Izzet Baysal University, Bolu-Turkiye

6. Department of Electrical and Electronics Engineering, Mewat Engineering College, Nuh, Haryana, India

7. Department of Electrical Engineering, Greater Noida Institute of Technology, Greater Noida, Uttar Pradesh, India

Publisher

Informa UK Limited

Subject

Electrical and Electronic Engineering,Mechanical Engineering,Energy Engineering and Power Technology

Reference64 articles.

1. B. M. Mitchell, J. W. Ross, and R. E. Park, A Short Guide to Electric Utility Load Forecasting. Santa Monica, CA, USA: RAND Corporation, 1986.

2. J. P. Carvallo P. H. Larsen A. H. Sanstad and C. A. Goldman “Load forecasting in electric utility integrated resource planning ” Energy Analysis and Environmental Impacts Division Electricity Marketing and Policy Group Report 2016.

3. An experiment in linguistic synthesis with a fuzzy logic controller

4. Interpolation and Extrapolation of Stationary Random Sequences

5. N. Weiner, Extrapolation, Interpolation & Smoothing of Stationary Time Series-with Engineering Applications. Cambridge, MA: M.I.T. Press Paperback Series, Mar. 15, 1964.

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