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Si Booky
Many objective charging optimization for electric vehicles considering demand response and multi-uncertainties based on Markov chain and information gap decision theory
Many objective charging optimization for electric vehicles considering demand response and multi-uncertainties based on Markov chain and information gap decision theory
This paper constructs an electric vehicle (EV) charging optimization model considering demand response and the uncertainties of source and load. First, after obtaining the charging load by using the M..
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Configuration optimization and benefit allocation model of multi-park integrated energy systems considering electric vehicle charging station to assist services of shared energy storage power station
Configuration optimization and benefit allocation model of multi-park integrated energy systems considering electric vehicle charging station to assist services of shared energy storage power station
Energy storage (ES) has a significant impact on increasing the use of clean energy and lowering carbon emissions. But the high cost of ES limits its large-scale development. Hence, considering the var..
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Time-series aggregation for the optimization of energy systems: Goals, challenges, approaches, and opportunities
Time-series aggregation for the optimization of energy systems: Goals, challenges, approaches, and opportunities
The rising significance of renewable energy increases the importance of representing time-varying input data in energy system optimization studies. Time-series aggregation, which reduces temporal mode..
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A Full-Sample Clustering Model Considering Whole Process Optimization of Data
A Full-Sample Clustering Model Considering Whole Process Optimization of Data
With the continuous increase of data volume and data dimensions, it becomes more and more difficult to improve the accuracy and interpretability of the algorithm only from the clustering algorithm its..
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