Using Forecasting Systems to Reduce Cost and Improve Dispatch of Variable Renewable Energy
This technical guide is the fourth in a series of four technical guides on variable renewable energy (VRE) grid integration produced by the Energy Sector Management Assistance Program (ESMAP) of the World Bank and the Global Sustainable Electricity...
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| Language: | English |
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World Bank, Washington, DC
2019
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| Online Access: | http://documents.worldbank.org/curated/en/764421562863079220/Using-Forecasting-Systems-to-Reduce-Cost-and-Improve-Dispatch-of-Variable-Renewable-Energy http://hdl.handle.net/10986/32072 |
| Summary: | This technical guide is the fourth in a
series of four technical guides on variable renewable energy
(VRE) grid integration produced by the Energy Sector
Management Assistance Program (ESMAP) of the World Bank and
the Global Sustainable Electricity Partnership (GSEP). It
provides guidance on the role and benefits of forecasting as
a cost-effective operational solution to manage the
uncertainty of VRE generation and facilitate the integration
of larger shares of these resources in the energy mix. The
guide focuses primarily on the types of forecasting methods
and how physical and statistical models are used for
developing short- to long-term forecasts. Technological
advances in weather forecasting, together with better data
on historical performance of renewable energy, allow
significantly improved forecasting accuracy of VRE
generation, which results in more efficient utilization.
Examples from developing countries illustrate how the
approach to forecasting varies depending on the country’s
electricity market structure and requirements. |
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