| Presentation | 2022-03-28 A Study on Convolutional LSTM Based Weather Forecasting Method Using Colored Cloud Images Haruki Takehana, Astuo Ozaki, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In recent years, there has been an increase in flood damage caused by localized heavy rainfall, and research on forecasting localized and rapidly changing weather using supercomputers and phased array radar has been actively conducted. However, in order to deploy disaster prevention systems to many organizations such as local governments, low-cost systems that can be operated in various environments are required. In this study, we propose a method for predicting the weather from cloud images captured by a web camera using convolutional LSTM and CNN, and present the prediction results. In the evaluation, we predicted clear, sunny, and cloudy weather up to 15 minutes later using cloud images taken over Hirakata City, Osaka Prefecture, and confirmed that we could predict the weather in the range of 0.68 to 0.84. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Weather Forecasting / Cloud Images / CNN / Convolutional LSTM |
| Paper # | MSS2021-62,NLP2021-133 |
| Date of Issue | 2022-03-21 (MSS, NLP) |
| Conference Information | |
| Committee | MSS / NLP |
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| Conference Date | 2022/3/28(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | MSS, NLP, Work In Progress (MSS only), and etc. |
| Chair | Atsuo Ozaki(Osaka Inst. of Tech.) / Takuji Kosaka(Chukyo Univ.) |
| Vice Chair | Shingo Yamaguchi(Yamaguchi Univ.) / Akio Tsuneda(Kumamoto Univ.) |
| Secretary | Shingo Yamaguchi(Hokkaido Univ.) / Akio Tsuneda(NEC) |
| Assistant | Masato Shirai(Shimane Univ.) / Hideyuki Kato(Oita Univ.) / Yuichi Yokoi(Nagasaki Univ.) |
| Paper Information | |
| Registration To | Technical Committee on Mathematical Systems Science and its Applications / Technical Committee on Nonlinear Problems |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A Study on Convolutional LSTM Based Weather Forecasting Method Using Colored Cloud Images |
| Sub Title (in English) | |
| Keyword(1) | Weather Forecasting |
| Keyword(2) | Cloud Images |
| Keyword(3) | CNN |
| Keyword(4) | Convolutional LSTM |
| 1st Author's Name | Haruki Takehana |
| 1st Author's Affiliation | Osaka Institute of Technology(OIT) |
| 2nd Author's Name | Astuo Ozaki |
| 2nd Author's Affiliation | Osaka Institute of Technology(OIT) |
| Date | 2022-03-28 |
| Paper # | MSS2021-62,NLP2021-133 |
| Volume (vol) | vol.121 |
| Number (no) | MSS-443,NLP-444 |
| Page | pp.pp.37-42(MSS), pp.37-42(NLP), |
| #Pages | 6 |
| Date of Issue | 2022-03-21 (MSS, NLP) |