TY - CHAP
T1 - Grey Predictors for Hourly Wind Speed and Power Forecasting
AU - El-Fouly, Tarek H.M.
AU - El-Saadany, Ehab F.
PY - 2012
Y1 - 2012
N2 - Wind energy resources, unlike dispatchable central station generation, produce power dependable on an external irregular source, the incident wind speed, which does not always blow when electricity is needed. This results in the variability, unpredictability, and uncertainty of wind resources. Therefore, the integration of wind facilities to utility electrical grid presents a major challenge to power system operators. Such integration has significant impact on the optimum power flow, transmission congestion, power quality issues, system stability, load dispatch, and economic analysis. Due to the irregular nature of wind power production, accurate prediction represents the major challenge to power system operators. This chapter investigates the usage of Grey predictor rolling models for hourly wind speed forecasting and wind power prediction.
AB - Wind energy resources, unlike dispatchable central station generation, produce power dependable on an external irregular source, the incident wind speed, which does not always blow when electricity is needed. This results in the variability, unpredictability, and uncertainty of wind resources. Therefore, the integration of wind facilities to utility electrical grid presents a major challenge to power system operators. Such integration has significant impact on the optimum power flow, transmission congestion, power quality issues, system stability, load dispatch, and economic analysis. Due to the irregular nature of wind power production, accurate prediction represents the major challenge to power system operators. This chapter investigates the usage of Grey predictor rolling models for hourly wind speed forecasting and wind power prediction.
UR - http://www.scopus.com/inward/record.url?scp=84883186057&partnerID=8YFLogxK
U2 - 10.1007/978-1-4471-2201-2_9
DO - 10.1007/978-1-4471-2201-2_9
M3 - Chapter
AN - SCOPUS:84883186057
SN - 9781447122005
T3 - Green Energy and Technology
SP - 197
EP - 226
BT - Wind Energy Conversion Systems Technology and Trends
PB - Springer Verlag
ER -