{"id":5347,"date":"2025-03-18T20:34:07","date_gmt":"2025-03-18T11:34:07","guid":{"rendered":"https:\/\/www.waseda.jp\/inst\/across\/?p=5347"},"modified":"2025-03-21T13:52:45","modified_gmt":"2025-03-21T04:52:45","slug":"2025%e5%b9%b43%e6%9c%8818%e6%97%a5%e3%80%80%e9%9b%bb%e6%ba%90%e9%96%8b%e7%99%ba%e6%a0%aa%e5%bc%8f%e4%bc%9a%e7%a4%be%e3%81%af%e3%80%81%e5%85%88%e9%80%b2%e3%82%b0%e3%83%aa%e3%83%83%e3%83%89%e6%8a%80","status":"publish","type":"post","link":"https:\/\/www.waseda.jp\/inst\/across\/news\/5347","title":{"rendered":"2025\u5e743\u670818\u65e5\u3000\u96fb\u6e90\u958b\u767a\u682a\u5f0f\u4f1a\u793e\u306f\u3001\u5148\u9032\u30b0\u30ea\u30c3\u30c9\u6280\u8853\u7814\u7a76\u6240\u306e\u85e4\u672c\u7814\u7a76\u9662\u6559\u6388\u304c\u4e2d\u5fc3\u3068\u306a\u3063\u3066\u958b\u767a\u3057\u305f\u624b\u6cd5\u3092\u6d3b\u7528\u3057\u305f\u767a\u96fb\u4e88\u6e2c\u30b7\u30b9\u30c6\u30e0\u3092\u7528\u3044\u3066\u3001\u9678\u4e0a\u98a8\u529b\u767a\u96fb\u6240\u306b\u5bfe\u3059\u308b\u518d\u30a8\u30cd\u30a2\u30b0\u30ea\u30b2\u30fc\u30b7\u30e7\u30f3\u30b5\u30fc\u30d3\u30b9\u306e\u63d0\u4f9b\u3092\u958b\u59cb\u3059\u308b\u3053\u3068\u3092\u767a\u8868\u3057\u307e\u3057\u305f"},"content":{"rendered":"

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\n\u30fbY. Fujimoto, Y. Takahashi, Y. Hayashi, \u201cAlerting to Rare Large-Scale Events in Wind Power Generation\u201d, IEEE Trans. Sustainable Energy, Vol. 10, No.1, pp.55\u201365, 2019.
\n\u30fbY. Fujimoto, K. Higashiyama, Y. Hayashi, \u201cJapan\u2019s R&D Project of Ramp Forecasting Technology: A Machine Learning Scheme for Ramp Forecast\u201d, Proc. 17th Wind Integration Workshop (WIW 2018), Stockholm, Sweden, October 17th-19th, 2018.<\/p>\n

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