Forecasting and Assessing Risk of Individual Electricity Peaks
1st ed. 2020
Book Details
Format
Paperback / Softback
Book Series
SpringerBriefs in Mathematics of Planet Earth
ISBN-10
3030286681
ISBN-13
9783030286682
Edition
1st ed. 2020
Publisher
Springer Nature Switzerland AG
Imprint
Springer Nature Switzerland AG
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Oct 7th, 2019
Print length
97 Pages
Product Classification:
Numerical analysisProbability & statisticsApplied mathematicsEnergy technology & engineering
AI Summary
Ksh 3,250.00
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The overarching aim of this open access book is to present self-contained theory and algorithms for investigation and prediction of electric demand peaks.
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