Concepedia

A novel network training approach for solving sample imbalance problem in wind power prediction

Anbo Meng, Zikang Xian, Hao Yin, Jianqiang Luo, Xiaolin Wang, Hai‐Tao Zhang, Jiayu Rong, Chen Li, Zhenbo Wu, Zhifeng Xie,

Energy Conversion and Management · 2023 · 23 citations · 54 references

Concepts

Natural SciencesData ScienceForecastingMachine LearningWeather ForecastingEnsemble ForecastingForecasting For Renewable GenerationWind Energy SystemsWind ForecastingWind Turbine TechnologyDeep Learning For Wind ForecastingMachine Learning For Wind ForecastingRenewable Energy ForecastingTime Series Forecasting For WindWind Power ForecastingWind Power SystemsWind Speed Prediction

References

54

Wind speed forecasting based on the hybrid ensemble empirical mode decomposition and GA-BP neural network method

Shouxiang Wang, Na Zhang, Lei Wu et al. · Renewable Energy · 2016 · 674 citations

Natural Sciences, Earth Sciences, Meteorology +14

Wind power forecasting – A data-driven method along with gated recurrent neural network

Adam Kisvari, Zi Lin, Xiaolei Liu · Renewable Energy · 2020 · 396 citations

Computing, Data Science, Meteorology +16

A Stacked GRU-RNN-Based Approach for Predicting Renewable Energy and Electricity Load for Smart Grid Operation

Min Xia, Xiandong Ma, Clarence W. de Silva · IEEE Transactions on Industrial Informatics · 2021 · 388 citations · Full text

Computing, Data Science, Forecasting +16

Prediction of photovoltaic power output based on similar day analysis, genetic algorithm and extreme learning machine

Yi Zhou, Nanrun Zhou, Li-Hua Gong et al. · Energy · 2020 · 281 citations

Engineering, Computational Engineering, Electrical Engineering +17

Evolutionary undersampling boosting for imbalanced classification of breast cancer malignancy

Bartosz Krawczyk, Mikel Galar, Łukasz Jeleń et al. · Applied Soft Computing · 2015 · 264 citations

Medicine, Biostatistics, Oncology +13