The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.
Forecasting loads and prices in competitive power markets
Abstract
This paper provides a review of some of the main methodological issues and techniques which have become innovative in addressing the problem of forecasting daily loads and prices in the new competitive power markets. Particular emphasis is placed upon computationally intensive methods, including variable segmentation, multiple modeling, combinations, and neural networks for forecasting the demand side, and strategic simulation using artificial agents for the supply side.
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Citations
Cites
Bates, J. M., & Granger, C. W. J. (1969) · Journal of the Operational Research Society · doi:10.1057/jors.1969.103 · Cited by 3,201
Electric load forecasting using an artificial neural network
Park, D.-C., El-Sharkawi, M. A., Marks, R. J., Atlas, L., & Damborg, M. J. (1991) · IEEE Transactions on Power Systems · doi:10.1109/59.76685 · Cited by 1,440
Supply Function Equilibria in Oligopoly under Uncertainty
Klemperer, P. D., & Meyer, M. A. (1989) · Econometrica · doi:10.2307/1913707 · Cited by 1,382
Competition in the British Electricity Spot Market
Green, R. J., & Newbery, D. M. (1992) · Journal of Political Economy · doi:10.1086/261846 · Cited by 1,336
Short-run forecasts of electricity loads and peaks
Ramanathan, R., Engle, R., Granger, C. W. J., Vahid-Araghi, F., & Brace, C. (1997) · International Journal of Forecasting · doi:10.1016/s0169-2070(97)00015-0 · Cited by 342
ANNSTLF-a neural-network-based electric load forecasting system
Khotanzad, A. R., Afkhami-Rohani, R., Lu, T.-L., Abaye, A., Davis, M., & Maratukulam, D. (1997) · IEEE Transactions on Neural Networks · doi:10.1109/72.595881 · Cited by 267
Comparative Models for Electrical Load Forecasting
Harris, T., Bunn, D. W., & Farmer, E. D. (1986) · Technometrics · doi:10.2307/1268996 · Cited by 265
Self-citationForecasting Hourly Electricity Demand Using Time-Varying Splines
Harvey, A., & Koopman, S. J. (1993) · Journal of the American Statistical Association · doi:10.1080/01621459.1993.10476402 · Cited by 237
Rudkevich, A., Duckworth, M., & Rosen, R. (1998) · The Energy Journal · doi:10.5547/issn0195-6574-ej-vol19-no3-2 · Cited by 213
A Bayesian Approach to the Linear Combination of Forecasts
Bunn, D. W. (1975) · Journal of the Operational Research Society · doi:10.1057/jors.1975.67 · Cited by 183
Self-citation
Cited by
Electricity price forecasting: A review of the state-of-the-art with a look into the future
Weron, R. (2014) · International Journal of Forecasting · doi:10.1016/j.ijforecast.2014.08.008 · Cited by 1,646
Day-Ahead Electricity Price Forecasting Using the Wavelet Transform and ARIMA Models
Conejo, A. J., Plazas, M. A., Espinola, R., & Molina, A. B. (2005) · IEEE Transactions on Power Systems · doi:10.1109/tpwrs.2005.846054 · Cited by 986
Demand-side view of electricity markets
Kirschen, D. S. (2003) · IEEE Transactions on Power Systems · doi:10.1109/tpwrs.2003.810692 · Cited by 787
Modeling and Forecasting Electricity Loads and Prices: A Statistical Approach
Weron, R. (2006) · doi:10.1002/9781118673362 · Cited by 708
Impact of uncoordinated plug-in electric vehicle charging on residential power demand
Muratori, M. (2018) · Nature Energy · doi:10.1038/s41560-017-0074-z · Cited by 695
Metadata
- Authors
- Bunn, D. W.
- Venue
- Proceedings of the IEEE
- Published
- 2000-02
- Volume
- 88
- Issue
- 2
- Pages
- 163-169
- ISSN
- 0018-9219 (ISSN-L)
- 1558-2256
- OpenAlex
- W2122671960
- Cited by
- 458
- References
- 13
- FWCI
- 7.36
- Type
- journal article
- Language
- en
- Open access
- closed
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
