Grey predictor for wind energy conversion systems output power prediction

T. H.M. El-Fouly; E. F. El-Saadany; M. M.A. Salama

doi:10.1109/TPWRS.2006.879246

Grey predictor for wind energy conversion systems output power prediction

Electrical Engineering

University of Waterloo

Research output: Contribution to journal › Article › peer-review

174 Scopus citations

Abstract

Wind energy is considered one of the most rapidly growing sources of electricity generation all over the world. This letter presents a novel technique for wind speed forecasting and wind power prediction based on using the Grey predictor model GM(1,1). The effectiveness of the proposed predictor is revealed using simulation results.

Original language	British English
Pages (from-to)	1450-1452
Number of pages	3
Journal	IEEE Transactions on Power Systems
Volume	21
Issue number	3
DOIs	https://doi.org/10.1109/TPWRS.2006.879246
State	Published - Aug 2006

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Grey theory
Power prediction
Variable-speed wind turbines
Wind energy

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10.1109/TPWRS.2006.879246

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@article{308a19356b68423b8766507d7656c298,

title = "Grey predictor for wind energy conversion systems output power prediction",

abstract = "Wind energy is considered one of the most rapidly growing sources of electricity generation all over the world. This letter presents a novel technique for wind speed forecasting and wind power prediction based on using the Grey predictor model GM(1,1). The effectiveness of the proposed predictor is revealed using simulation results.",

keywords = "Grey theory, Power prediction, Variable-speed wind turbines, Wind energy",

author = "El-Fouly, \{T. H.M.\} and El-Saadany, \{E. F.\} and Salama, \{M. M.A.\}",

year = "2006",

month = aug,

doi = "10.1109/TPWRS.2006.879246",

language = "British English",

volume = "21",

pages = "1450--1452",

journal = "IEEE Transactions on Power Systems",

issn = "0885-8950",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

number = "3",

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TY - JOUR

T1 - Grey predictor for wind energy conversion systems output power prediction

AU - El-Fouly, T. H.M.

AU - El-Saadany, E. F.

AU - Salama, M. M.A.

PY - 2006/8

Y1 - 2006/8

N2 - Wind energy is considered one of the most rapidly growing sources of electricity generation all over the world. This letter presents a novel technique for wind speed forecasting and wind power prediction based on using the Grey predictor model GM(1,1). The effectiveness of the proposed predictor is revealed using simulation results.

AB - Wind energy is considered one of the most rapidly growing sources of electricity generation all over the world. This letter presents a novel technique for wind speed forecasting and wind power prediction based on using the Grey predictor model GM(1,1). The effectiveness of the proposed predictor is revealed using simulation results.

KW - Grey theory

KW - Power prediction

KW - Variable-speed wind turbines

KW - Wind energy

UR - https://www.scopus.com/pages/publications/33747604390

U2 - 10.1109/TPWRS.2006.879246

DO - 10.1109/TPWRS.2006.879246

M3 - Article

AN - SCOPUS:33747604390

SN - 0885-8950

VL - 21

SP - 1450

EP - 1452

JO - IEEE Transactions on Power Systems

JF - IEEE Transactions on Power Systems

IS - 3

ER -

Grey predictor for wind energy conversion systems output power prediction

Abstract

UN SDGs

Keywords

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