C. Feng

发表

Statistical Representation of Wind Power Ramps Using a Generalized Gaussian Mixture Model

Jie Zhang, Mingjian Cui, C. Feng, 2018, IEEE Transactions on Sustainable Energy.

Occlusion-perturbed Deep Learning for Probabilistic Solar Forecasting via Sky Images

B. Hodge, C. Feng, Wenqi Zhang, 2022, 2022 IEEE Power & Energy Society General Meeting (PESGM).

Aggregated Probabilistic Wind Power Forecasting Based on Spatio-Temporal Correlation

Mucun Sun, Jie Zhang, C. Feng, 2019, 2019 IEEE Power & Energy Society General Meeting (PESGM).

A two-step short-term probabilistic wind forecasting methodology based on predictive distribution optimization

Bri-Mathias Hodge, Jie Zhang, Cong Feng, 2019, Applied Energy.

Transferrable Operative Difficulty Assessment in Robot-assisted Teleoperation: A Domain Adaptation Approach pdf

Ziheng Wang, Jie Zhang, Cong Feng, 2019, ArXiv.

Reinforced Deterministic and Probabilistic Load Forecasting via $Q$ -Learning Dynamic Model Selection

Jie Zhang, Cong Feng, Mucun Sun, 2020, IEEE Transactions on Smart Grid.

Convolutional neural networks for intra-hour solar forecasting based on sky image sequences

B. Hodge, Jie Zhang, C. Feng, 2022, Applied Energy.

Probabilistic solar power forecasting based on weather scenario generation

Jie Zhang, Cong Feng, Mucun Sun, 2020, Applied Energy.

Conditional aggregated probabilistic wind power forecasting based on spatio-temporal correlation

Jie Zhang, Cong Feng, Mucun Sun, 2019, Applied Energy.

Event Space-Correlation Analysis Algorithm Based on Ant Colony Optimization

Si Liu, Cong Feng, Guo-Ning Lv, 2013, ICIC.

Community Detection Method of Complex Network Based on ACO Pheromone of TSP

Si Liu, Cong Feng, Zhi-Juan Jia, 2014, ICIC.

Cascading Failures in Power Grid under Three Node Attack Strategies

Cong Feng, Zhijuan Jia, Suimin Jia, 2014, ICIC.

Assessment of aggregation strategies for machine-learning based short-term load forecasting

Jie Zhang, Cong Feng, Jie Zhang, 2020, Electric Power Systems Research.

Factoring Behind-the-Meter Solar into Load Forecasting: Case Studies under Extreme Weather

Jie Zhang, Cong Feng, Mucun Sun, 2020, 2020 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT).

Reinforced Deterministic and Probabilistic Load Forecasting via

$Q$

-Learning Dynamic Model Selection

Mucun Sun, Jie Zhang, C. Feng, 2020 .

Unsupervised Clustering-Based Short-Term Solar Forecasting

Bri-Mathias Hodge, Mingjian Cui, Hendrik F. Hamann, 2019, IEEE Transactions on Sustainable Energy.

An Unsupervised Clustering-Based Short-Term Solar Forecasting Methodology Using Multi-Model Machine Learning Blending pdf

Jie Zhang, Bri-Mathias Hodge, Mingjian Cui, 2018, ArXiv.

Characterizing Time Series Data Diversity for Wind Forecasting

Jie Zhang, Bri-Mathias Hodge, Cong Feng, 2017, BDCAT.

SolarNet: A sky image-based deep convolutional neural network for intra-hour solar forecasting

Jie Zhang, Cong Feng, Jie Zhang, 2020, Solar Energy.

Jie Zhang, Cong Feng, Jie Zhang, 2018, 2018 IEEE Power & Energy Society General Meeting (PESGM).

Predictive Regression Modeling for Small Enterprise Datasets with Bootstrap, Clustering and Bagging

C. Jack Feng, Krishna Erla, C. Feng, 2008 .

A taxonomical review on recent artificial intelligence applications to PV integration into power grids

Cong Feng, Jie Zhang, Yuanzhi Liu, 2021 .

A review of behind-the-meter solar forecasting

B. Hodge, A. Florita, C. Feng, 2022, Renewable and Sustainable Energy Reviews.

Deep Learning-Based Real-Time Building Occupancy Detection Using AMI Data

Jie Zhang, Ali Mehmani, Cong Feng, 2020, IEEE Transactions on Smart Grid.

Reinforcement Learning based Dynamic Model Selection for Short-Term Load Forecasting

Jie Zhang, Cong Feng, Jie Zhang, 2018, 2019 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT).

A data-driven multi-model methodology with deep feature selection for short-term wind forecasting

Jie Zhang, Bri-Mathias Hodge, Mingjian Cui, 2017 .

SolarNet: A Deep Convolutional Neural Network for Solar Forecasting via Sky Images

Jie Zhang, Cong Feng, Jie Zhang, 2020, 2020 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT).

OpenSolar: Promoting the openness and accessibility of diverse public solar datasets

Dazhi Yang, Bri-Mathias Hodge, Jie Zhang, 2019, Solar Energy.

Characterizing and analyzing ramping events in wind power, solar power, load, and netload

Jie Zhang, Bri-Mathias Hodge, Mingjian Cui, 2017 .

Sizing ramping reserve using probabilistic solar forecasts: A data-driven method

B. Hobbs, Jie Zhang, V. Krishnan, 2022, Applied Energy.

Multi-distribution ensemble probabilistic wind power forecasting

Jie Zhang, Cong Feng, Mucun Sun, 2020, Renewable Energy.

Solar PV, Wind Generation, and Load Forecasting Dataset for ERCOT 2018: Performance-Based Energy Resource Feedback, Optimization, and Risk Management (P.E.R.F.O.R.M.)

B. Hodge, Richard Bryce, C. Feng, 2023 .

Complex Network Construction Method of Disaster Regional Association Based on Optimized Compressive Sensing

Si Liu, Cong Feng, Zhi-Juan Jia, 2014, ICIC.

Characterizing forecastability of wind sites in the United States

Jie Zhang, Bri-Mathias Hodge, Mingjian Cui, 2019, Renewable Energy.

A learning-augmented approach for AC optimal power flow

Cong Feng, Jie Zhang, J. Zhang, 2021 .

Machine Learning-Aided Security Constrained Optimal Power Flow

Jie Zhang, Cong Feng, Jie Zhang, 2020, 2020 IEEE Power & Energy Society General Meeting (PESGM).