Comparison between the bivariate Weibull probability approach and linear regression for assessment of the long-term wind energy resource using MCP

Renewable Energy

Volumn 68, Issue , 2014, Pages 529-539

  Weekes, S M ^a   Tomlin, A S ^a  

^a UNIVERSITY OF LEEDS   (United Kingdom)

Author keywords

Bivariate Weibull distribution; Measure correlate predict; Wind resource assessment

Indexed keywords

ENERGY RESOURCES; FLOW VISUALIZATION; REGRESSION ANALYSIS; WEATHER FORECASTING; WIND; WIND POWER; FORECASTING; PROBABILITY DISTRIBUTIONS; SPEED; WEIBULL DISTRIBUTION; WIND EFFECTS;

BIVARIATE WEIBULL DISTRIBUTION; DISTRIBUTION PARAMETERS; FITTING PARAMETERS; MEASURE-CORRELATE-PREDICT; SEASONAL VARIATION; STANDARD DEVIATION; WEIBULL SHAPE FACTORS; WIND RESOURCE ASSESSMENT;

WEIBULL DISTRIBUTION; FLOW VISUALIZATION;

COMPARATIVE STUDY; LINEARITY; LONG-TERM CHANGE; PREDICTION; PROBABILITY; WEIBULL THEORY; WIND POWER; WIND VELOCITY; ASSESSMENT METHOD; DATA SET; MEASUREMENT METHOD; SEASONAL VARIATION;

UNITED KINGDOM;

EID: 84896040043     PISSN: 09601481     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.renene.2014.02.020     Document Type: Article

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