Forecasting and Assessing Risk of Individual Electricity Peaks

Forecasting and Assessing Risk of Individual Electricity Peaks

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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. A cross-section of popular demand forecasting algorithms from statistics, machine learning and mathematics is presented, followed by extreme valu...

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Bibliographic Details
Main Authors: Jacob, Maria (Author), Neves, Cláudia (Author), Vukadinović Greetham, Danica (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2020.
Edition:1st ed. 2020.
Series:SpringerBriefs in Mathematics of Planet Earth, Weather, Climate, Oceans,
Subjects:
Geography > Mathematics.
Statistics .
Energy policy.
Energy and state.
Algorithms.
Electric power production.
Mathematics of Planet Earth.
Statistical Theory and Methods.
Energy Policy, Economics and Management.
Electrical Power Engineering.
Mechanical Power Engineering.
Online Access:Link to Metadata
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Table of Contents:
  • Preface
  • Introduction
  • Short Term Load Forecasting
  • Extreme Value Theory
  • Extreme Value Statistics
  • Case Study
  • References
  • Index.

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