By Rafal Weron
This publication bargains an in-depth and up to date evaluation of alternative statistical instruments that may be used to research and forecast the dynamics of 2 the most important for each strength corporation processes—electricity costs and quite a bit. It presents assurance of seasonal decomposition, suggest reversion, heavy-tailed distributions, exponential smoothing, spike preprocessing, autoregressive time sequence together with types with exogenous variables and heteroskedastic (GARCH) parts, regime-switching versions, period forecasts, jump-diffusion versions, derivatives pricing and the industry cost of possibility.
Modeling and Forecasting electrical energy a lot and costs is packaged with a CD containing either the knowledge and distinctive examples of implementation of other concepts in Matlab, with extra examples in SAS. A reader can retrace the entire intermediate steps of a pragmatic implementation of a version and try out his knowing of the strategy and correctness of the pc code utilizing a similar enter data.
The e-book might be of specific curiosity to the quants hired by means of the utilities, self sufficient energy turbines and agents, strength buying and selling desks of the hedge cash and monetary associations, and the executives attending classes designed to assist them to sweep up on their technical talents. The textual content might be additionally of use to graduate scholars in electric engineering, econometrics and finance eager to get a grip on complicated statistical instruments utilized during this sizzling quarter. actually, there are 16 Case stories within the ebook making it a self-contained educational to electrical energy load and value modeling and forecasting.
Read or Download Modeling and Forecasting Electricity Loads and Prices: A Statistical Approach (The Wiley Finance Series) PDF
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