Using Forecasting Systems to Reduce Cost and Improve Dispatch of Variable Renewable Energy

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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Main Author: Energy Sector Management Assistance Program
Format: Technical Paper
Language:English
Published: World Bank, Washington, DC 2019
Subjects:
RENEWABLE ENERGY
METEOROLOGY
REMOTE SENSING
SOLAR ENERGY
WIND ENERGY
PHOTOVOLTAIC
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
id okr-10986-32072
recordtype oai_dc
spelling okr-10986-320722022-09-20T00:15:02Z Using Forecasting Systems to Reduce Cost and Improve Dispatch of Variable Renewable Energy Energy Sector Management Assistance Program RENEWABLE ENERGY METEOROLOGY REMOTE SENSING SOLAR ENERGY WIND ENERGY PHOTOVOLTAIC 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. 2019-07-12T18:02:10Z 2019-07-12T18:02:10Z 2019-07 Technical Paper 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 English ESMAP Technical Guide; CC BY 3.0 IGO http://creativecommons.org/licenses/by/3.0/igo World Bank World Bank, Washington, DC Publications & Research Publications & Research :: ESMAP Paper
repository_type Digital Repository
institution_category Foreign Institution
institution Digital Repositories
building World Bank Open Knowledge Repository
collection World Bank
language English
topic RENEWABLE ENERGY
METEOROLOGY
REMOTE SENSING
SOLAR ENERGY
WIND ENERGY
PHOTOVOLTAIC
spellingShingle RENEWABLE ENERGY
METEOROLOGY
REMOTE SENSING
SOLAR ENERGY
WIND ENERGY
PHOTOVOLTAIC
Energy Sector Management Assistance Program
Using Forecasting Systems to Reduce Cost and Improve Dispatch of Variable Renewable Energy
relation ESMAP Technical Guide;
description 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.
format Technical Paper
author Energy Sector Management Assistance Program
author_facet Energy Sector Management Assistance Program
author_sort Energy Sector Management Assistance Program
title Using Forecasting Systems to Reduce Cost and Improve Dispatch of Variable Renewable Energy
title_short Using Forecasting Systems to Reduce Cost and Improve Dispatch of Variable Renewable Energy
title_full Using Forecasting Systems to Reduce Cost and Improve Dispatch of Variable Renewable Energy
title_fullStr Using Forecasting Systems to Reduce Cost and Improve Dispatch of Variable Renewable Energy
title_full_unstemmed Using Forecasting Systems to Reduce Cost and Improve Dispatch of Variable Renewable Energy
title_sort using forecasting systems to reduce cost and improve dispatch of variable renewable energy
publisher World Bank, Washington, DC
publishDate 2019
url 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
_version_ 1764475716546592768

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