A distributed big data storage and data mining framework for solar-generated electricity quantity forecasting

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 8333, Issue , 2012, Pages

  Wang, Jianzong ^a,b   Chen, Yanjun ^a   Hua, Rui ^a   Wang, Peng ^a,b   Fu, Jia ^c  

^a HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^b HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^c Meteorological Service Center of Hubei Province   (China)

Author keywords

Big data; distributed storage; high performance computing; neural network; photovoltaic forecasting

Indexed keywords

BIG DATA; DATA STORAGE; DATA SYSTEMS; DIRECT CURRENT; DISTRIBUTED DATABASE; DISTRIBUTED STORAGE; ELECTRICAL POWER; FEED-IN TARIFF; FINANCIAL INCENTIVES; FORECASTING SYSTEM; GLOBAL CAPACITY; GROWING DEMAND; HIGH-PERFORMANCE COMPUTING; LOW LATENCY; METEOROLOGICAL DATA; MIXED DATABASE; NATURAL FACTORS; NET METERING; NEURAL NETWORK ALGORITHM; PHOTOVOLTAIC ARRAYS; PHOTOVOLTAIC ENERGY; PHOTOVOLTAIC MATERIALS; PHOTOVOLTAIC POWER GENERATION; POWER PREDICTIONS; RENEWABLE ENERGY SOURCE; SECURITY OF POWER GRIDS; SOLAR PANELS; SOLAR PHOTOVOLTAIC POWER; SOLAR PHOTOVOLTAICS;

COMPUTER SOFTWARE SELECTION AND EVALUATION; DISTRIBUTED DATABASE SYSTEMS; ELECTRIC GENERATORS; ELECTRICITY; ENERGY DISSIPATION; FORECASTING; MANUFACTURE; METEOROLOGY; NEURAL NETWORKS; OPTOELECTRONIC DEVICES; PHOTOVOLTAIC CELLS; SOLAR CONCENTRATORS; SOLAR ENERGY; SOLAR POWER GENERATION; SUN;

PHOTOVOLTAIC EFFECTS;

EID: 84863247572     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.919640     Document Type: Conference Paper

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