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How do challenge and hindrance stressors differentially influence work-to-family enrichment? The roles of self-esteem and marital power
Journal article
Tan, Alice J.M., Loi, Raymond. How do challenge and hindrance stressors differentially influence work-to-family enrichment? The roles of self-esteem and marital power[J]. Journal of Managerial Psychology, 2024.
Authors:
Tan, Alice J.M.
;
Loi, Raymond
Favorite
|
TC[WOS]:
0
TC[Scopus]:
0
IF:
3.1
/
4.5
|
Submit date:2024/12/26
Challenge Stressor
Hindrance Stressor
Work–home Resources Model
Work-to-family Enrichment
Self-esteem
Marital Power
Model-Free Self-Supervised Learning for Dispatching Distributed Energy Resources
Journal article
Ge Chen, Junjie Qin, Hongcai Zhang. Model-Free Self-Supervised Learning for Dispatching Distributed Energy Resources[J]. IEEE Transactions on Smart Grid, 2024.
Authors:
Ge Chen
;
Junjie Qin
;
Hongcai Zhang
Favorite
|
TC[Scopus]:
2
IF:
8.6
/
9.6
|
Submit date:2024/10/17
Distributed Energy Resources
Model-free
Self-supervised Learning
Distribution Networks
Power Dispatch
Model Predictive Control with Fixed Switching Frequency for Thyristor-Controlled LC-Coupling Hybrid Active Power Filter
Conference paper
Sou, Wai Kit, Martins, Rui P., Lam, Chi Seng. Model Predictive Control with Fixed Switching Frequency for Thyristor-Controlled LC-Coupling Hybrid Active Power Filter[C]:Institute of Electrical and Electronics Engineers Inc., 2024, 201155.
Authors:
Sou, Wai Kit
;
Martins, Rui P.
;
Lam, Chi Seng
Favorite
|
TC[WOS]:
0
TC[Scopus]:
0
|
Submit date:2024/08/05
Model Predictive Control
Power Quality
Thyristor-controlled Lc-coupling Hybrid Active Power Filter (Tclc-hapf)
Neumann Series based Linear Bus Injection Model of Three-Phase AC Power Flow for Active Distribution Network
Conference paper
Gong, Cheng, Lam, Chi Seng. Neumann Series based Linear Bus Injection Model of Three-Phase AC Power Flow for Active Distribution Network[C]:Institute of Electrical and Electronics Engineers Inc., 2024.
Authors:
Gong, Cheng
;
Lam, Chi Seng
Favorite
|
TC[WOS]:
0
TC[Scopus]:
0
|
Submit date:2024/08/05
Ac Power Flow
Bus Injection Model
Linear Approximation
Neumann Series Expansion
Modeling and evaluation of probabilistic carbon emission flow for power systems considering load and renewable energy uncertainties
Journal article
Sun, Xiaocong, Bao, Minglei, Ding, Yi, Hui, Hengyu, Song, Yonghua, Zheng, Chenghang, Gao, Xiang. Modeling and evaluation of probabilistic carbon emission flow for power systems considering load and renewable energy uncertainties[J]. Energy, 2024, 296, 130768.
Authors:
Sun, Xiaocong
;
Bao, Minglei
;
Ding, Yi
;
Hui, Hengyu
;
Song, Yonghua
; et al.
Favorite
|
TC[WOS]:
5
TC[Scopus]:
9
IF:
9.0
/
8.2
|
Submit date:2024/05/16
Carbon Emissions
Integrated Carbon Intensity
Low-carbon Power Systems
Probabilistic Carbon Emission Evaluation
Renewable Energy
Uncertainty Model
A Power-Decoupled Three-Phase Current Source Inverter with Model Predictive Control in An Unbalanced Grid
Journal article
Liu, Yonghui, Wang, Minghao, Xu, Zhao, Lyu, Xue, Peng, Yang, Wang, Yue. A Power-Decoupled Three-Phase Current Source Inverter with Model Predictive Control in An Unbalanced Grid[J]. International Journal of Electrical Power and Energy Systems, 2024, 157, 109781.
Authors:
Liu, Yonghui
;
Wang, Minghao
;
Xu, Zhao
;
Lyu, Xue
;
Peng, Yang
; et al.
Favorite
|
TC[WOS]:
1
TC[Scopus]:
2
IF:
5.0
/
4.6
|
Submit date:2024/05/16
Current Source Inverter (Csi)
Model Predictive Control (Mpc)
Power Decoupling (Pd)
Space Vector Pulse Width Modulation (Svpwm)
A 28nm 314.6TLFOPS/W Reconfigurable Floating-Point Analog Compute-In-Memory Macro with Exponent Approximation and Two-Stage Sharing TD-ADC
Conference paper
He, Pengyu, Zhao, Yuanzhe, Xie, Heng, Wang, Yang, Yin, Shouyi, Li, Li, Zhu, Yan, Martins, R. P., Chan, Chi Hang, Zhang, Minglei. A 28nm 314.6TLFOPS/W Reconfigurable Floating-Point Analog Compute-In-Memory Macro with Exponent Approximation and Two-Stage Sharing TD-ADC[C]:Institute of Electrical and Electronics Engineers Inc., 2024.
Authors:
He, Pengyu
;
Zhao, Yuanzhe
;
Xie, Heng
;
Wang, Yang
;
Yin, Shouyi
; et al.
Favorite
|
TC[WOS]:
0
TC[Scopus]:
2
|
Submit date:2024/06/05
Power Demand
In-memory Computing
Throughput
Energy Efficiency
Hardware
Common Information Model (Computing)
Artificial Intelligence
Model predictive control allocation based on adaptive sliding mode control strategy for enhancing the lateral stability of four-wheel-drive electric vehicles
Journal article
Di Ao, Wong, Pak Kin, Wei Huang. Model predictive control allocation based on adaptive sliding mode control strategy for enhancing the lateral stability of four-wheel-drive electric vehicles[J]. PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART D-JOURNAL OF AUTOMOBILE ENGINEERING, 2024, 238(6), 1514-1534.
Authors:
Di Ao
;
Wong, Pak Kin
;
Wei Huang
Favorite
|
TC[WOS]:
9
TC[Scopus]:
10
IF:
1.5
/
1.7
|
Submit date:2023/08/03
Adaptive Sliding Mode Control
Direct Yaw Moment
Four-wheel Driving Electric Vehicle
Lateral Stability
Model Predictive Control Allocation
Power Consumption
A Deep Learning Approach Based on Novel Multi-Feature Fusion for Power Load Prediction
Journal article
Xiao, Ling, An, Ruofan, Zhang, Xue. A Deep Learning Approach Based on Novel Multi-Feature Fusion for Power Load Prediction[J]. Processes, 2024, 12(4), 793.
Authors:
Xiao, Ling
;
An, Ruofan
;
Zhang, Xue
Favorite
|
TC[WOS]:
1
TC[Scopus]:
1
IF:
2.8
/
3.0
|
Submit date:2024/05/16
Deep Learning Model
Multiple Features
Power Load Forecasting
Transfer Learning
Research and application of a Model selection forecasting system for wind speed and theoretical power generation in wind farms based on classification and wind conversion
Journal article
Huang, Xiaojia, Wang, Chen, Zhang, Shenghui. Research and application of a Model selection forecasting system for wind speed and theoretical power generation in wind farms based on classification and wind conversion[J]. Energy, 2024, 293, 130606.
Authors:
Huang, Xiaojia
;
Wang, Chen
;
Zhang, Shenghui
Favorite
|
TC[WOS]:
2
TC[Scopus]:
4
IF:
9.0
/
8.2
|
Submit date:2024/05/02
Model Selection
Multi-objective Optimization Algorithm
Theoretical Power Generation
Wind Speed Forecasting