Enhanced short-term load forecasting with hybrid machine learning models: CatBoost and XGBoost approaches

Aquila Optimizer: A novel meta-heuristic optimization algorithm

Laith Abualigah, Dalia Yousri, Mohamed Abd Elaziz et al. · Computers & Industrial Engineering · 2021 · 2.1K citations

Natural Sciences, Industrial Engineering, Algorithms +12

CatBoost: gradient boosting with categorical features support

Anna Veronika Dorogush, Vasily Ershov, Andrey Gulin · arXiv (Cornell University) · 2018 · 1.4K citations · Full text

Computing, Computer Science, High-performance Computing +17

Short-term load forecasting via ARMA model identification including non-gaussian process considerations

Shyh‐Jier Huang, Kuang‐Rong Shih · IEEE Transactions on Power Systems · 2003 · 675 citations

Computing, Data Science, Demand Forecasting +12

Short-Term Load Forecasting Using EMD-LSTM Neural Networks with a Xgboost Algorithm for Feature Importance Evaluation

Huiting Zheng, Jiabin Yuan, Long Chen · Energies · 2017 · 645 citations · Full text

Computing, Data Science, Electrical Engineering +17

Short-Term Load Forecasting Methods: An Evaluation Based on European Data

James W. Taylor, Patrick McSharry · IEEE Transactions on Power Systems · 2007 · 607 citations

Business, Electrical Engineering, Demand Forecasting +16