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Forecasting and Assessing Risk of Individual Electricity Peaks (Paperback, 1st ed. 2020)
Loot Price: R749
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Forecasting and Assessing Risk of Individual Electricity Peaks (Paperback, 1st ed. 2020)
Series: Mathematics of Planet Earth
Expected to ship within 10 - 15 working days
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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 value theory
techniques with examples. In order to achieve carbon targets, good
forecasts of peaks are essential. For instance, shifting demand or
charging battery depends on correct demand predictions in time.
Majority of forecasting algorithms historically were focused on
average load prediction. In order to model the peaks, methods from
extreme value theory are applied. This allows us to study extremes
without making any assumption on the central parts of demand
distribution and to predict beyond the range of available data.
While applied on individual loads, the techniques described in this
book can be extended naturally to substations, or to commercial
settings. Extreme value theory techniques presented can be also
used across other disciplines, for example for predicting heavy
rainfalls, wind speed, solar radiation and extreme weather events.
The book is intended for students, academics, engineers and
professionals that are interested in short term load prediction,
energy data analytics, battery control, demand side response and
data science in general.
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