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Analysis and evaluation of five short-term load forecasting techniques
Abstract
A review of five widely applied short-term (up to 24 h) load forecasting techniques is presented. These are: multiple linear regression; stochastic time series; general exponential smoothing; state space and Kalman filter; and a knowledge-based approach. A brief discussion of each of these techniques, along with the necessary equations, is presented. Algorithms implementing these forecasting techniques have been programmed and applied to the same database for direct comparison of these different techniques. A comparative summary of the results is presented to give an understanding of the inherent level of difficulty of each of these techniques and their performances.>
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Citations
Cited by
Electric load forecasting: Literature survey and classification of methods
Alfares, H. K., & Nazeeruddin, M. (2002) · International Journal of Systems Science · doi:10.1080/00207720110067421 · Cited by 743
Modeling and Forecasting Electricity Loads and Prices: A Statistical Approach
Weron, R. (2006) · doi:10.1002/9781118673362 · Cited by 708
Load forecasting, dynamic pricing and DSM in smart grid: A review
Khan, A. R., Mahmood, A., Safdar, A., Khan, Z. A., & Khan, N. A. (2016) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2015.10.117 · Cited by 469
Applying Wavelets to Short-Term Load Forecasting Using PSO-Based Neural Networks
Bashir, Z. A., & El-Hawary, M. E. (2009) · IEEE Transactions on Power Systems · doi:10.1109/tpwrs.2008.2008606 · Cited by 408
Mat Daut, M. A., Hassan, M. Y., Abdullah, H., Rahman, H. A., Abdullah, M. P., & Hussin, F. (2017) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2016.12.015 · Cited by 346
Metadata
- Authors
- Moghram, I., & Rahman, S.
- Venue
- IEEE Transactions on Power Systems
- Published
- 1989
- Volume
- 4
- Issue
- 4
- Pages
- 1484-1491
- ISSN
- 0885-8950 (ISSN-L)
- OpenAlex
- W2169548144
- Cited by
- 706
- References
- 0
- FWCI
- 3.30
- Type
- journal article
- Language
- en
- Open access
- closed
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- Moghram, I., & Rahman, S. (1989). Analysis and evaluation of five short-term load forecasting techniques. IEEE Transactions on Power Systems. https://doi.org/10.1109/59.41700
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