A novel technique for wind speed forecasting using grey predictor

Tarek H.M. El-Fouly; Ehab F. El-Saadany; Magdy M.A. Salama

A novel technique for wind speed forecasting using grey predictor

Electrical Engineering

University of Waterloo

Research output: Contribution to conference › Paper › peer-review

1 Scopus citations

Abstract

Wind energy is considered one of the most rapidly growing sources of electricity generation allover the world. This paper presents a novel technique for wind speed forecasting based on using the Grey predictor model GM(1,1). Two different sets of data from two weather stations are used in comparing the obtained result form the proposed technique and those obtained from conventional time series based techniques. Simulation results are presented to validate the effectiveness of the new prediction technique for wind speed.

Original language	British English
State	Published - 2005
Event	10th Americas Conference on Wind Engineering, ACWE 2005 - Baton Rouge, LA, United States Duration: 31 May 2005 → 4 Jun 2005

Conference

Conference	10th Americas Conference on Wind Engineering, ACWE 2005
Country/Territory	United States
City	Baton Rouge, LA
Period	31/05/05 → 4/06/05

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

Grey predictor
Prediction
Time-series
Wind

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Cite this

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title = "A novel technique for wind speed forecasting using grey predictor",

abstract = "Wind energy is considered one of the most rapidly growing sources of electricity generation allover the world. This paper presents a novel technique for wind speed forecasting based on using the Grey predictor model GM(1,1). Two different sets of data from two weather stations are used in comparing the obtained result form the proposed technique and those obtained from conventional time series based techniques. Simulation results are presented to validate the effectiveness of the new prediction technique for wind speed.",

keywords = "Grey predictor, Prediction, Time-series, Wind",

author = "El-Fouly, \{Tarek H.M.\} and El-Saadany, \{Ehab F.\} and Salama, \{Magdy M.A.\}",

year = "2005",

language = "British English",

note = "10th Americas Conference on Wind Engineering, ACWE 2005 ; Conference date: 31-05-2005 Through 04-06-2005",

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T1 - A novel technique for wind speed forecasting using grey predictor

AU - El-Fouly, Tarek H.M.

AU - El-Saadany, Ehab F.

AU - Salama, Magdy M.A.

PY - 2005

Y1 - 2005

N2 - Wind energy is considered one of the most rapidly growing sources of electricity generation allover the world. This paper presents a novel technique for wind speed forecasting based on using the Grey predictor model GM(1,1). Two different sets of data from two weather stations are used in comparing the obtained result form the proposed technique and those obtained from conventional time series based techniques. Simulation results are presented to validate the effectiveness of the new prediction technique for wind speed.

AB - Wind energy is considered one of the most rapidly growing sources of electricity generation allover the world. This paper presents a novel technique for wind speed forecasting based on using the Grey predictor model GM(1,1). Two different sets of data from two weather stations are used in comparing the obtained result form the proposed technique and those obtained from conventional time series based techniques. Simulation results are presented to validate the effectiveness of the new prediction technique for wind speed.

KW - Grey predictor

KW - Prediction

KW - Time-series

KW - Wind

UR - https://www.scopus.com/pages/publications/84886891772

M3 - Paper

AN - SCOPUS:84886891772

T2 - 10th Americas Conference on Wind Engineering, ACWE 2005

Y2 - 31 May 2005 through 4 June 2005

ER -

A novel technique for wind speed forecasting using grey predictor

Abstract

Conference

UN SDGs

Keywords

OpenUrl availability

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