Effective sampling for drift mitigation in machine learning using scenario selection: A microgrid case study

Characterizing concept drift

Geoffrey I. Webb, Roy Hyde, Hong Cao et al. · Data Mining and Knowledge Discovery · 2016 · 475 citations · Full text

Concept Formation, Engineering, Shift Detection +7

Frequency Dynamics Constrained Unit Commitment With Battery Energy Storage

Yunfeng Wen, Wenyuan Li, Gang Huang et al. · IEEE Transactions on Power Systems · 2016 · 290 citations

Unit Commitment, Electrical Engineering, System Inertia +14

Ridge regression ensemble of machine learning models applied to solar and wind forecasting in Brazil and Spain

Tatiane Carolyne Carneiro, Paulo Alexandre Costa Rocha, Paulo César Marques de Carvalho et al. · Applied Energy · 2022 · 120 citations

Meteorology, Forecasting Methodology, Numerical Weather Prediction +11

Real-time digital twin-based optimization with predictive simulation learning

Travis R. Goodwin, Jie Xu, Nurçin Çelik et al. · Journal of Simulation · 2022 · 86 citations

Artificial Intelligence, Mathematical Programming, Engineering +17

MO²TOS: Multi-Fidelity Optimization with Ordinal Transformation and Optimal Sampling

Jie Xu, Si Zhang, Edward Huang et al. · Asia Pacific Journal of Operational Research · 2016 · 86 citations

Engineering, Machine Learning, Simulation +19