首页|New Machine Learning Data Have Been Reported by Investigators at Changchun Unive rsity of Science and Technology (Enhanced Short-term Load Forecasting With Hybri d Machine Learning Models: Catboost and Xgboost Approaches)
New Machine Learning Data Have Been Reported by Investigators at Changchun Unive rsity of Science and Technology (Enhanced Short-term Load Forecasting With Hybri d Machine Learning Models: Catboost and Xgboost Approaches)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in Machine Learning. According to news originating from Changchun, People’s Republi c of China, by NewsRx correspondents, research stated, “The focus of this paper is to improve short-term load forecasting for electric power. To achieve this go al, the study explores and evaluates hybrid models, specifically using the CatBo ost and XGBoost algorithms, which are optimized with different optimizers.” Financial support for this research came from Scientific Research Project of Edu cation Department of Jilin Province.
ChangchunPeople’s Republic of ChinaA siaCyborgsEmerging TechnologiesMachine LearningChangchun University of S cience and Technology
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