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Xinxin Ge
Xinxin Ge
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Alıntı yapanlar
Yıl
Smart households’ aggregated capacity forecasting for load aggregators under incentive-based demand response programs
F Wang, B Xiang, K Li, X Ge, H Lu, J Lai, P Dehghanian
IEEE Transactions on Industry Applications 56 (2), 1086-1097, 2020
2032020
Day-ahead optimal bidding and scheduling strategies for DER aggregator considering responsive uncertainty under real-time pricing
F Wang, X Ge, P Yang, K Li, Z Mi, P Siano, N Duić
Energy 213, 118765, 2020
1302020
Day-ahead market optimal bidding strategy and quantitative compensation mechanism design for load aggregator engaging demand response
F Wang, X Ge, K Li, Z Mi
IEEE transactions on industry applications 55 (6), 5564-5573, 2019
1272019
PV-load decoupling based demand response baseline load estimation approach for residential customer with distributed PV system
Z Xuan, X Gao, K Li, F Wang, X Ge, Y Hou
IEEE Transactions on Industry Applications 56 (6), 6128-6137, 2020
942020
Optimal bidding strategy of demand response aggregator based on customers’ responsiveness behaviors modeling under different incentives
X Lu, X Ge, K Li, F Wang, H Shen, P Tao, J Hu, J Lai, Z Zhen, ...
IEEE Transactions on Industry Applications 57 (4), 3329-3340, 2021
832021
Time–frequency feature combination based household characteristic identification approach using smart meter data
S Yan, K Li, F Wang, X Ge, X Lu, Z Mi, H Chen, S Chang
IEEE Transactions on Industry Applications 56 (3), 2251-2262, 2020
832020
Meta-heuristic optimization-based two-stage residential load pattern clustering approach considering intra-cluster compactness and inter-cluster separation
K Li, X Cao, X Ge, F Wang, X Lu, M Shi, R Yin, Z Mi, S Chang
IEEE Transactions on Industry Applications 56 (4), 3375-3384, 2020
702020
Joint energy disaggregation of behind-the-meter PV and battery storage: A contextually supervised source separation approach
F Wang, X Ge, Z Dong, J Yan, K Li, F Xu, X Lu, H Shen, P Tao
IEEE Transactions on Industry Applications 58 (2), 1490-1501, 2022
492022
Spatio-temporal two-dimensions data based customer baseline load estimation approach using LASSO regression
X Ge, F Xu, Y Wang, H Li, F Wang, J Hu, K Li, X Lu, B Chen
IEEE Transactions on Industry Applications 58 (3), 3112-3122, 2022
392022
Risk-constrained optimal bidding and scheduling for load aggregators jointly considering customer responsiveness and PV output uncertainty
H Shen, P Tao, R Lyu, P Ren, X Ge, F Wang
Energy Reports 7, 4722-4732, 2021
162021
Smart Households' Available Aggregated Capacity Day-ahead Forecast Model for Load Aggregators under Incentive-based Demand Response Program
B Xiang, K Li, X Ge, F Wang, J Lai, P Dehghanian
2019 IEEE Industry Applications Society Annual Meeting, 1-10, 2019
142019
Blockchain and green certificates based market structure and transaction mechanism of direct power-purchase for industrial users
X Ge, D Yang, Y Lv, F Wang, J Yu, J Lu, Z Yang, Y Tian, H Ren
IEEE Transactions on Industry Applications 59 (3), 2892-2903, 2023
112023
Day-ahead demand response potential forecasting model considering dynamic spatial-temporal correlation based on directed graph structure
M Li, J Wang, G Li, X Zhang, X Ge, J Wang, F Wang
IEEE Transactions on Industry Applications, 2023
102023
Neural network based irradiance mapping model of solar PV power forecasting using sky image
F Wang, X Ge, Z Zhen, H Ren, Y Gao, D Ma, M Shafie-khah, JPS Catalão
2018 IEEE Industry Applications Society Annual Meeting (IAS), 1-7, 2018
102018
Day-ahead probabilistic forecasting of smart households’ demand response capacity under incentive-based demand response program
B Xiang, K Li, X Ge, Z Zhen, X Lu, F Wang
2019 IEEE Sustainable Power and Energy Conference (iSPEC), 1078-1083, 2019
82019
Day-ahead market optimal bidding strategy of load aggregator engaging demand response program considering price uncertainty
X Ge, K Li, F Wang, Z Mi
2019 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2019
82019
A feature importance analysis based solar irradiance mapping model using multi-channel satellite remote sensing data
Y Su, N Li, H Yang, F Wang, C Sun, Z Zhen, Z Zou, X Ge
2022 IEEE/IAS 58th Industrial and Commercial Power Systems Technical …, 2022
62022
Demand Response Potential Day-ahead Forecasting Approach Based on LSSA-BPNN Considering the Electricity-carbon Coupling Incentive Effects
Y Zhang, X Ge, M Li, N Li, F Wang, L Wang, Q Sun
IEEE Transactions on Industry Applications, 2024
52024
Graph convolutional network based day-ahead demand response potential forecasting model considering the spatial-temporal correlation
L Wang, Q Sun, M Li, X Ge, F Wang, S Chen, T Gong
2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen …, 2023
42023
A SVM based demand response capacity prediction model considering internal factors under composite program
X Chen, X Ge, R Sun, F Wang, Z Mi
Energy 300, 131460, 2024
32024
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