NDLI: Wind speed and solar irradiance forecasting techniques for enhanced renewable energy integration with the grid: a review

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Wind speed and solar irradiance forecasting techniques for enhanced renewable energy integration with the grid: a review

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Wind speed and solar irradiance forecasting techniques for enhanced renewable energy integration with the grid: a review

Content Provider	IET Digital Library
Author	Ssekulima, Edward Baleke Anwar, Muhammad Bashar Hinai, Amer Al Moursi, Mohamed Shawky El
Abstract	Power generation from renewable energy resources is on the increase in most countries, and this trend is expected to continue in the foreseeable future. In an effort to enhance the integration of renewable power generation from solar and wind into the traditional power network, there is need to address the vulnerabilities posed to the grid as a result of the intermittent nature of these resources. Variability and ramp events in power output are the key challenges to the system operators due to their impact on system balancing, reserves management, scheduling and commitment of generating units. This has drawn the interest of utilities and researchers towards developing state of the art forecasting techniques for forecasting wind speeds and solar irradiance over a wide range of temporal and spatial horizons. The main forecasting approaches employ physical, statistical, artificial intelligence and hybrid methodologies. This study provides the rationale for forecasting in power systems, a succinct review of forecasting techniques as well as an assessment of their performance as applied in the literature. Also, techniques for improving the accuracy of forecasts have been presented together with key forecasting issues and developing trends.
Starting Page	885
Ending Page	989
Page Count	105
ISSN	17521416
Volume Number	10
e-ISSN	17521424
Issue Number	Issue 7, Aug (2016)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-rpg/10/7
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-rpg.2015.0477
Journal	IET Renewable Power Generation
Publisher Date	2016-08-01
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Energy ReSource Enhanced Renewable Energy Integration Generating Units Commitment Generating Units Scheduling Power Generation Scheduling Power Output Power System Economics Power System Managemen Power System Operation Renewable Power Generation Reserves Management Solar Irradiance Forecasting Technique System Balancing Wind Energy Wind Power Wind Power Plant Wind Speed
Content Type	Text
Resource Type	Article
Subject	Renewable Energy, Sustainability and the Environment

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