Renewable Energy Forecasting: From Models to Applications - Archive ouverte HAL Accéder directement au contenu
Ouvrage (Y Compris Édition Critique Et Traduction) Année : 2017

Renewable Energy Forecasting: From Models to Applications

(1)
1

Résumé

Renewable Energy Forecasting: From Models to Applications 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, 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. 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 needs 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.
Fichier non déposé

Dates et versions

hal-01542722 , version 1 (20-06-2017)

Identifiants

  • HAL Id : hal-01542722 , version 1

Citer

Georges Kariniotakis. Renewable Energy Forecasting: From Models to Applications . Elsevier - Woodhead Publishing, pp.386, 2017, Woodhead Publishing Series in Energy, 978-0-0810-0504-0. ⟨hal-01542722⟩
644 Consultations
0 Téléchargements

Partager

Gmail Facebook Twitter LinkedIn More