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An optimization model is proposed, achieving the optimal operation and bidding of distributed battery aggregators.
After that, a double-goal approach is proposed achieving the above two goals simultaneously.
The contributions of this study are as follows: 1) An optimization model is proposed, achieving the optimal operation and bidding of distributed battery aggregators.
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We demonstrated that the method we proposed achieved good performance in recovering known, experimentally verified microRNA-disease associations.
The present work proposes achieving this goal by using the assumption of simple scaling invariance.
The method proposed achieves seamless integration between the optimization of structural parameters and the 3D modelling.
The reason why Proposed achieves the improvement of the BER performance compared to Averaging is the following.
We note that the suboptimal threshold we propose achieves full diversity for any positive constant.
Many methods have been proposed for achieving this.
For WiMAX and OFDMA systems, various scheduling algorithms have been proposed for achieving QoS guarantees.
Several methods have been proposed for achieving this.
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