Statistical Learning Tools for Electricity Load Forecasting (Statistics for Industry, Technology, and Engineering) free ebook download.

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Statistical Learning Tools for Electricity Load Forecasting (Statistics for Industry, Technology, and Engineering) free ebook download

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Author(s):	Anestis Antoniadis

Date:	2024	Format:	epub	Language:	English	ISBN/ASIN:	3031603389
Pages:	240	OCR:		Quality:		ISBN13:
Uploader:	stirkout	Upload Date:	9/5/2024 10:29:46 AM

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3031603389 epub
3031603389 epub
3031603389 epub
This monograph explores a set of statistical and machine learning tools that can be effectively utilized for applied data analysis in the context of electricity load forecasting. Drawing on their substantial research and experience with forecasting electricity demand in industrial settings, the authors guide readers through several modern forecasting methods and tools from both industrial and applied perspectives  generalized additive models (GAMs), probabilistic GAMs, functional time series and wavelets, random forests, aggregation of experts, and mixed effects models. A collection of case studies based on sizable high-resolution datasets, together with relevant R packages, then illustrate the implementation of these techniques. Five real datasets at three different levels of aggregation (nation-wide, region-wide, or individual) from four different countries (UK, France, Ireland, and the USA) are utilized to study five problems: short-term point-wise forecasting, selection of relevant variables for prediction, construction of prediction bands, peak demand prediction, and use of individual consumer data.
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3270577	Book	https://nitroflare.com/view/B2570497AA8C...		0.00	stirkout

Tags: Electricity Engineering Forecasting Industry Learning Load Statistical Statistics Technology Tools

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