Forecasting high proportions of wind energy supplying the Brazilian Northeast electricity grid

Applied Energy

Volumn 195, Issue , 2017, Pages 538-555

  de Jong, Pieter ^a   Dargaville, Roger ^b   Silver, Jeremy ^b   Utembe, Steven ^b   Kiperstok, Asher ^a   Torres, Ednildo Andrade ^a  

^a FEDERAL UNIVERSITY OF BAHIA   (Brazil)

^b UNIVERSITY OF MELBOURNE   (Australia)

Author keywords

Forecasting; Hydroelectricity; Renewable energy integration; Solar power; Wind power; WRF

Indexed keywords

CLIMATE CHANGE; ELECTRIC UTILITIES; ENERGY POLICY; FORECASTING; HYDROELECTRIC POWER; SOLAR ENERGY; WEATHER FORECASTING; WIND POWER;

CAPACITY FACTORS; ELECTRICITY GRIDS; ELECTRICITY SUPPLY; OPTIMAL INTEGRATION; RENEWABLE ENERGY INTEGRATIONS; WEATHER RESEARCH AND FORECASTING MODELS; WIND ENERGY GENERATION; WIND PENETRATION;

ELECTRIC POWER TRANSMISSION NETWORKS;

ELECTRICITY SUPPLY; FORECASTING METHOD; HYDROELECTRIC POWER; RENEWABLE RESOURCE; SMART GRID; SOLAR POWER; WIND FARM; WIND POWER;

BRAZIL;

EID: 85016030813     PISSN: 03062619     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.apenergy.2017.03.058     Document Type: Article

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