A new stochastic approach to weather condition for wind energy applications

Energy Education Science and Technology Part A: Energy Science and Research

Volumn 28, Issue 2, 2012, Pages 1087-1100

  Orosa, José A ^a  

^a UNIVERSITY OF A CORUÑA   (Spain)

Author keywords

Forecast; Stochastic; Weather; Weibull; Wind energy

Indexed keywords

COMMON MODELS; CORRELATION FACTORS; CURVE-FIT; DRY BULB TEMPERATURE; ENERGY APPLICATIONS; FORECAST; GAUSSIANS; LOG-NORMAL; MAIN CONTROL PARAMETERS; MOIST AIR; PEAK FUNCTIONS; POWER OUT PUT; PRESSURE AND TEMPERATURE; REGIONAL WEATHER; SAMPLED DATA; STOCHASTIC; STOCHASTIC APPROACH; THERMAL COMFORT INDEX; TIME-PERIODS; VALIDATION TOOLS; VAPOUR PRESSURES; WEATHER; WEATHER CONDITIONS; WEATHER FORECASTS; WEATHER MODELS; WEIBULL; WEIBULL MODELS; WIND POWER STATIONS; WIND TURBINE POWER; WIND VELOCITIES;

CORRELATION METHODS; METEOROLOGY; PROBABILITY DENSITY FUNCTION; STOCHASTIC SYSTEMS; WEIBULL DISTRIBUTION; WIND POWER;

WEATHER FORECASTING;

EID: 84861982358     PISSN: 1308772X     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

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