Machine Learning Techniques for Supporting Renewable Energy Generation and Integration: A Survey

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 8817, Issue , 2014, Pages 81-96

  Perera, Kasun S ^a   Aung, Zeyar ^b   Woon, Wei Lee ^b  

^a DRESDEN UNIVERSITY OF TECHNOLOGY   (Germany)

^b KHALIFA UNIVERSITY   (United Arab Emirates)

Author keywords

Machine learning; Renewable energy; Smart grids

Indexed keywords

ARTIFICIAL INTELLIGENCE; CRUDE OIL; GEOTHERMAL ENERGY; LEARNING ALGORITHMS; LEARNING SYSTEMS; RENEWABLE ENERGY RESOURCES; SMALL POWER PLANTS; SURVEYS;

CONVENTIONAL ENERGY SOURCES; ENERGY FROM RENEWABLE SOURCES; INHERENT CHARACTERISTICS; MACHINE LEARNING TECHNIQUES; RENEWABLE ENERGIES; RENEWABLE ENERGY GENERATION; SMART GRID; TECHNOLOGICAL DEVELOPMENT;

SMART POWER GRIDS;

EID: 84912559024     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-13290-7_7     Document Type: Article

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