Forecasting, a fundamental task in machine learning, involves predicting future values of a time series based on its historical behavior. This paper introduces a novel Hierarchical Patch Based ...
The final, formatted version of the article will be published soon. Join order optimization is among the most crucial query optimization problems, and its central position is also evident in the new ...
Research Laboratory in Bionanomaterials, LPbio, Department of Chemistry, Federal University of Viçosa, 36570-900 Viçosa, Minas Gerais, Brazil ...
State Key Laboratory of Green Chemical Engineering and Industrial Catalysis, Center for Computational Chemistry and Research Institute of Industrial Catalysis, East China University of Science and ...
Abstract: Ultrashort term photovoltaic (PV) power prediction is one of the important tasks for the intraday scheduling of PV power station integrated into the power grid system. To tackle the ...
Abstract: In this article, a robust optimization design method is presented to improve the energy management effect of plug-in hybrid electric buses (PHEBs). Various uncertain factors are taken into ...
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