Yida Ge

An error-corrected deep Autoformer model via Bayesian optimization algorithm and secondary decomposition for photovoltaic power prediction

Jie Chen, Peng Tian, Shijie Qian et al. · Applied Energy · 2024 · 52 citations

Electrical Engineering, Engineering, Photovoltaic Power Prediction +13

Enhancing short-term wind speed prediction based on an outlier-robust ensemble deep random vector functional link network with AOA-optimized VMD

Chu Zhang, Zhengbo Li, Yida Ge et al. · Energy · 2024 · 47 citations

Engineering, Machine Learning, Data Science +7

State-of-health estimation for lithium-ion battery via an evolutionary Stacking ensemble learning paradigm of random vector functional link and active-state-tracking long–short-term memory neural network

Yue Zhang, Yeqin Wang, Chu Zhang et al. · Applied Energy · 2023 · 37 citations

Artificial Intelligence, Engineering, Machine Learning +7

A novel metaheuristic optimizer based on improved adaptive guided differential evolution algorithm for parameter identification of a PEMFC model

Yida Ge, Chu Zhang, Qianlong Liu et al. · Fuel · 2024 · 13 citations

A novel hybrid model based on multiple influencing factors and temporal convolutional network coupling ReOSELM for wind power prediction

Yida Ge, Chu Zhang, Yiwei Wang et al. · Energy Conversion and Management · 2024 · 12 citations