Renewable Energy Forecasting

From Models to Applications

Szerző: Georges Kariniotakis

Nyelv:

Kötés: Kemény kötésű

Kiadó: Elsevier Science & Technology

Elérhetőség: Kiadói készleten rendelésre

Küldés 17-27 napon belül

54 366 Ft

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

Információk a könyvről

Szerző

Georges Kariniotakis

Nyelv

Angol

Kötés

Könyv - Kemény kötésű

Kiadva

2017

oldal

386

EAN

9780081005040

ISBN

0081005040

Enbook ID

14564596

Kiadó

Elsevier Science & Technology

Súly

740

Méretek

152 x 229 x 25

Teljes leírás

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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Teljes leírás

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