£110.00

Woodhead Publishing Renewable Energy Forecasting: From Models to Applications (Woodhead Publishing Series in Energy)

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£181.74 £102.83 £120.04 £137.26 £154.48 £171.70 £188.91 25 April 2026 08 May 2026 22 May 2026 04 June 2026 18 June 2026

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2 days · current 46 days 7 days 0 12 23 35 46 £110 £122 £182 Days at Price

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Most common price: £122 (46 days, 83.6%)

Price range: £110 - £182

Price levels: 3 different prices over 55 days

Description

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. Offers comprehensive coverage of wind, solar, wave, and hydropower forecasting in one convenient volume Addresses a topic that is growing in importance, given the increasing penetration of renewable energy in many countries Reviews state-of-the-science techniques for renewable energy forecasting Contains chapters on operational applications

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
18 June 2017
Listed Since
12 October 2016

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