Forecasting of Wind Capacity Ramp Events Using Typical Event Clustering Identification

Abstract

{} re set q W − Ramp event sets i f Ramp amplitude of the sample event i R Change rate of the sample event pq  Pearson correlation coefficient re p f  Ramp amplitude of the key wind capacity event pattern re p R  Change rate of the key wind capacity event pattern re q f  Ramp amplitude of the wind capacity event sequence re q R  Change rate of the wind capacity event sequence k re set n EP − Relation between history actual ramp event sets and forecasting ramp event sets 0 t re i

An Enhanced Performance Evaluation Metrics for Wind Power Ramp Event Forecasting

“…For more information, see https://creativecommons.org/licenses/by-nc-nd/4.0/ implemented based on weather variables such as wind speed and direction, using physical formulas [8]. A complex forecasting process, including mathematical calculations to deal with meteorological and spatial information, is inevitable; a Numerical Weather Prediction (NWP)-based study is a typical example.…”

“…Y. Fujimoto et. al enhanced the accuracy of ramp forecasting through subsystem for wind power forecasting based on NWP and Swing Door Algorithm (SDA) [8]. Han et.…”