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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.
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