Forecasting and Assessing Risk of Individual Electricity Peaks
Publication year: 2020
ISBN: 978-3-030-28669-9
Internet Resource: Please Login to download book
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 value theory techniques with examples.
Subject: Mathematics and Statistics / Mathematics of Planet Earth / Statistical Theory and Methods / Energy Efficiency / Algorithms / Energy Systems / 60G70, 05C85, 62M10, 68T05 / electricity forecasting / extreme value theory / scedasis / heteroscedasticity / short-term load forecast / error measures / permutation-based algorithms / Block maxima methods in statistics of extremes / individual electricity peaks / risk of individual electricity peaks / forecasting individual electricity peaks / end-point estimation / SARIMA models / Long Short Term Memory (LSTM) / Multi-layer Perceptron(MLP) / permutation merge / permutation-based errors
