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Identifying the Most Influential Driver Nodes for Pinning Control of Multi-Agent Systems with Time-Varying Topology
Identifying the most influential driver nodes to guarantee the fastest synchronization speed is a key topic in pinning control of multi-agent systems.
Clustering-based Multitasking Deep Neural Network for Solar Photovoltaics Power Generation Prediction
For each type, a deep neural network (DNN) is employed and trained until the accuracy cannot be improved.
Learning Asymmetric Embedding for Attributed Networks via Convolutional Neural Network
The final representations are the results of concatenating source and target embedding vectors.
Multi-objective Scheduling of Electric Vehicle Charging/Discharging with Time of Use Tariff
Optimal coordinated charging is a multi-objective optimization problem (MOOP) in nature, with objective functions such as minimum price charging and minimum disruptions to the grid.
Can the Multi-Incoming Smart Meter Compressed Streams be Re-Compressed?
Smart meters have currently attracted attention because of their high efficiency and throughput performance.
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