Jinghuan Ma

Probabilistic Wind Power Forecasting Approach via Instance-Based Transfer Learning Embedded Gradient Boosting Decision Trees

Long Cai, Jie Gu, Jinghuan Ma et al. · Energies · 2019 · 70 citations · Full text

Engineering, Data Science, Wind Turbines +17

An explainable framework for load forecasting of a regional integrated energy system based on coupled features and multi-task learning

Kailang Wu, Jie Gu, Meng Lu et al. · Protection and Control of Modern Power Systems · 2022 · 58 citations · Full text

Engineering, Machine Learning, Load Control +19

Sparse Variational Gaussian Process Based Day-Ahead Probabilistic Wind Power Forecasting

Honglin Wen, Jinghuan Ma, Jie Gu et al. · IEEE Transactions on Sustainable Energy · 2022 · 47 citations

Forecasting Methodology, Engineering, Machine Learning +17

Probabilistic Load Forecasting via Neural Basis Expansion Model Based Prediction Intervals

Honglin Wen, Jie Gu, Jinghuan Ma et al. · IEEE Transactions on Smart Grid · 2021 · 44 citations

Forecasting Methodology, Engineering, Machine Learning +17

Continuous and Distribution-Free Probabilistic Wind Power Forecasting: A Conditional Normalizing Flow Approach

Honglin Wen, Pierre Pinson, Jinghuan Ma et al. · IEEE Transactions on Sustainable Energy · 2022 · 37 citations · Full text

Forecasting Methodology, Probabilistic Forecasting, Engineering +15