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|a 9783030286699
|q (electronic bk.)
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|z 9783030286682
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|a (MiAaPQ)EBC5941331
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|a (Au-PeEL)EBL5941331
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|a (OCoLC)1135670157
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|a MiAaPQ
|b eng
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|e pn
|c MiAaPQ
|d MiAaPQ
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|a G70.23
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|a Jacob, Maria.
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|a Forecasting and Assessing Risk of Individual Electricity Peaks.
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|a 1st ed.
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|a Cham :
|b Springer International Publishing AG,
|c 2019.
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|c ©2020.
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| 300 |
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|a 1 online resource (108 pages)
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| 336 |
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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| 490 |
1 |
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|a Mathematics of Planet Earth Series
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0 |
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|a Intro -- Preface -- Contents -- Acronyms -- 1 Introduction -- 1.1 Forecasting and Challenges -- 1.2 Data -- 1.2.1 Irish Smart Meter Data -- 1.2.2 Thames Valley Vision Data -- 1.3 Outline and Objectives -- References -- 2 Short Term Load Forecasting -- 2.1 Forecasts -- 2.1.1 Linear Regression -- 2.1.2 Time Series Based Algorithms -- 2.1.3 Permutation Based Algorithms -- 2.1.4 Machine Learning Based Algorithms -- 2.2 Forecast Errors -- 2.2.1 Point Error Measures -- 2.2.2 Time Shifted Error Measures -- 2.3 Discussion -- References -- 3 Extreme Value Theory -- 3.1 Basic Definitions -- 3.2 Maximum of a Random Sample -- 3.3 Exceedances and Order Statistics -- 3.3.1 Exceedances -- 3.3.2 Asymptotic Distribution of Certain Order Statistics -- 3.4 Extended Regular Variation -- References -- 4 Extreme Value Statistics -- 4.1 Block Maxima and Peaks over Threshold Methods -- 4.2 Maximum Lq-Likelihood Estimation with the BM Method -- 4.2.1 Upper Endpoint Estimation -- 4.3 Estimating and Testing with the POT Method -- 4.3.1 Selection of the Max-Domain of Attraction -- 4.3.2 Testing for a Finite Upper Endpoint -- 4.3.3 Upper Endpoint Estimation -- 4.4 Non-identically Distributed Observations-Scedasis Function -- References -- 5 Case Study -- 5.1 Predicting Electricity Peaks on a Low Voltage Network -- 5.1.1 Short Term Load Forecasts -- 5.1.2 Forecast Uncertainty -- 5.1.3 Heteroscedasticity in Forecasts -- References -- Index.
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|a Description based on publisher supplied metadata and other sources.
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| 590 |
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|a Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2023. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
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| 655 |
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4 |
|a Electronic books.
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| 700 |
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|a Neves, Cláudia.
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|a Vukadinović Greetham, Danica.
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| 776 |
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|i Print version:
|a Jacob, Maria
|t Forecasting and Assessing Risk of Individual Electricity Peaks
|d Cham : Springer International Publishing AG,c2019
|z 9783030286682
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| 797 |
2 |
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|a ProQuest (Firm)
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| 830 |
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|a Mathematics of Planet Earth Series
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| 856 |
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|u https://ebookcentral.proquest.com/lib/matrademy/detail.action?docID=5941331
|z Click to View
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