Renewable Energy Forecasting

From Models to Applications

Autor: Georges Kariniotakis

Jazyk:

Väzba: Pevná

Vydavateľ: Elsevier Science & Technology

Dostupnosť: U vydavateľa na objednávku

Odosielame za 28-34 dní

327.58 €

Due to shrinking fossil fuel reserves and concerns about climate change, renewable energy holds an i...

Informácie o knihe

Autor

Georges Kariniotakis

Jazyk

Angličtina

Väzba

Kniha - Pevná

Vydalo

2017

Stránok

386

EAN

9780081005040

ISBN

0081005040

Enbook ID

14564596

Vydavateľ

Elsevier Science & Technology

Hmotnosť

740

Rozmery

152 x 229 x 25

Kompletný popis

Due to shrinking fossil fuel reserves and concerns about climate change, renewable energy holds an increasing share of the energy mix. Solar, wind, wave and hydro energy are dependent on highly variable weather conditions, so their increased penetration will lead to strong fluctuations in the power injected into the electricity grid, which need to be managed. Reliable, high quality forecasts of renewable power generation are therefore essential for the smooth integration of large amounts of solar, wind, wave and hydropower into the grid as well as for the profitability and effectiveness of such renewable energy projects. This book provides an overview of the state of the art of renewable energy forecasting technology and its applications. After an introduction to the principles of meteorology and renewable energy generation, groups of chapters address forecasting models, very short-term forecasting and forecasting of extremes, and longer term forecasting. The final part of the book focuses on important applications of forecasting for power system management and in energy markets. Comprehensive coverage of wind, solar, wave and hydropower forecasting in one convenient volumeAddresses a topic that is growing in importance, given the increasing penetration of renewable energy in many countriesReviews state-of-the science techniques for renewable energy forecasting as well as containing chapters on operational applications

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Renewable Energy Forecasting

From Models to Applications

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