Zobacz książki o podobnej tematyce

Powiadomienie o dostępności

Więcej informacji o Renewable Energy Forecasting

• Dane szczegółowe
• Opis
• Ulubione w innej kategorii

Za ten zakup dostaniesz 850 punkty

Opis

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

Szczegóły książki

Kategoria Książki po angielsku Technology, engineering, agriculture Energy technology & engineering Alternative & renewable energy sources & technology

• Pełny tytuł: Renewable Energy Forecasting
• Podtytuł: From Models to Applications
• Autor: Georges Kariniotakis
• Język: Angielski
• Oprawa: Twarda
• Liczba stron: 386
• EAN: 9780081005040
• ISBN: 0081005040
• ID: 14564596
• Wydawca: Elsevier Science & Technology
• Waga: 740 g
• Wymiary: 229 × 152 × 25 mm
• Data wydania: 14. June 2017

Ulubione w innej kategorii

---

---

---