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检索条件"主题词=Kernel Extreme Learning Machine model"
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Improved prediction of daily pan evaporation using Bayesian model Averaging and optimized kernel extreme machine models in different climates
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STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT 2022年 第11期36卷 3875-3910页
作者: Ehteram, Mohammad Graf, Renata Ahmed, Ali Najah El-Shafie, Ahmed Semnan Univ Dept Water Engn Semnan Iran Adam Mickiewicz Univ Inst Phys Geog & Environm Planning Dept Hydrol & Water Management PL-61680 Poznan Poland Univ Tenaga Nasional UNITEN Dept Civil Engn Coll Engn Kajang 43000 Selangor Malaysia Univ Malaya Dept Civil Engn Fac Engn Kuala Lumpur 50603 Malaysia
Evaporation is one of the most important parameters of meteorological science. Therefore, predicting evaporation is necessary for both water resources and planning management. The present study uses Bayesian model Ave... 详细信息
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Multi-objective expansion planning of park-level integrated energy system considering the volatility trend of CETP
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IET GENERATION TRANSMISSION & DISTRIBUTION 2022年 第6期16卷 1225-1243页
作者: Wang, Lei Dai, Wei Zhu, Liuzhu Wang, Xuli Yin, Chenxu Cong, Hao Shi, Tiancheng Qi, Xianjun Bi, Rui Hefei Univ Technol Anhui Key Lab New Energy Utilizat & Energy Conser Hefei 230009 Peoples R China State Grid Anhu Elect Power Co Ltd Econ & Tech Reseatch Inst Hefei 230022 Peoples R China Hefei Comprehens Natl Sci Ctr Inst Energy Hefei 230031 Anhui Peoples R China
With the rapid development of carbon trading market, the volatility trend of carbon emission trading price (CETP) becomes one of the factors that cannot be ignored in energy system planning. Based on this, this paper ... 详细信息
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