The following information was submitted:
Transactions: INTERNATIONAL JOURNAL of ENERGY and ENVIRONMENT
Transactions ID Number: 19-649
Full Name: Tomohiko Ichikawa
Position: Student
Age: ON
Sex: Male
Address: 1247 Yachigusa, Yakusa-cho, Toyota, Aichi 470-0392
Country: JAPAN
Tel: 81-565-48-8121
Tel prefix:
Fax: 81-565-48-0010
E-mail address: w08801ww@aitech.ac.jp
Other E-mails:
Title of the Paper: Forecasting Time Series of Solar Energy and Wind Power by Using Wide Meteorological Data and Pattern Matching
Authors as they appear in the Paper: Tomohiko Ichikawa,Katsuhiro Ichiyanagi,Kazuto Yukita,Yasuyuki Goto
Email addresses of all the authors: w08801ww@aitech.ac.jp, itiya@aitech.ac.jp, yukita@aitech.ac.jp, ygoto@aitech.ac.jp
Number of paper pages: 8
Abstract: As an alternative energy of fossil fuel, the solar energy and wind power is made effective. This paper describes an application of a neural network for forecasting to time variations of solar energy and wind velocity. The neural network is used to forecast the natural energy and the pattern matching is used to choose the training data of the neural network. It is found from our investigations that forecasting accuracy of the time variation of solar energy and wind velocity is improved by utilization the pattern matching of the weather map data.
Keywords: forecasting, solar energy, wind power, neural network, pattern matching, meteorological data
EXTENSION of the file: .pdf
Special (Invited) Session: Forecasting Method of Time Series of Solar Energy and Wind Power by Using Wide Meteorological Data
Organizer of the Session: 635-094
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