The DOI matches its Crossref record; 83 of the 83 references it cites were found in a registry or an index.
Modeling and Forecasting Electricity Loads and Prices: A Statistical Approach
Abstract
The book is divided into four chapters. The first one introduces the structure of deregulated, competitive electricity markets with the power pools and power exchanges as the basic marketplaces for price discovery. Chapter 2 reviews the so-called stylized facts of selected power markets. In particular, the spiky nature of electricity prices, the different levels of seasonality inherent in load and price time series, the anti-persistent behavior of prices and the heavy-tailed distributions of returns. Chapter 3 reviews load forecasting techniques, with particular emphasis on statistical methods. Various models with and without exogenous variables are illustrated and compared in two comprehensive case studies. Finally, Chapter 4 discusses price modeling and forecasting. Six different approaches are surveyed and two – statistical and quantitative – are further studied. As in the previous chapter, the theoretical considerations and techniques are illustrated and evaluated using real-world data.
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Dudek, G. (2015) · Advances in Intelligent Systems and Computing · doi:10.1007/978-3-319-11310-4_71 · Cited by 214
Long term load projection in high resolution for all countries globally
Toktarova, A., Gruber, L., Hlusiak, M., Bogdanov, D., & Breyer, C. (2019) · International Journal of Electrical Power & Energy Systems · doi:10.1016/j.ijepes.2019.03.055 · Cited by 126
Elliot, M. G., & Mooers, A. Ø. (2014) · BMC Evolutionary Biology · doi:10.1186/s12862-014-0226-8 · Cited by 72
Carbon trading’s impact on California’s real-time electricity market prices
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Metadata
- Authors
- Weron, R.
- Publisher
- Wiley
- Published
- 2006-12-08
- OpenAlex
- W185455334
- Cited by
- 708
- References
- 83
- FWCI
- 18.22
- Type
- journal article
- Language
- en
- Open access
- closed
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