With the challenges of independent system operators and the integration of artificial intelligence technology and power system, it is of great significance to study the approach of security-constrained unit commitment...
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ISBN:
(纸本)9781665426213
With the challenges of independent system operators and the integration of artificial intelligence technology and power system, it is of great significance to study the approach of security-constrained unit commitment decision with high adaptability and high precision. In this paper, based on the gated recurrent unit neural network, an improved intelligent data-driven SCUC decision-making approach is proposed by constructing a compound gated recurrent unit neural network frame with Seq2Seq technology for SCUC problems. Firstly, a sample encoding technique for high-dimensional sample matrices is used to compress the dimension of matrices. After that, a compound neural network frame that is facing unit commitment decision-making is studied. Finally, the compound neural network is constructed by gated recurrent unit neural network and Seq2sSeq technique, forming a unit commitment deep learning model. The mapping model between system daily load and unit on/off schemes is constructed by the historical data training process. A series of simulation results based on standard examples verify the correctness and effectiveness of the proposed approach.
This chapter is intended to provide an overview of the operational considerations and potential obstacles that can be anticipated during the implementation of pharmacogenomic research in clinical trials. Particular at...
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This chapter is intended to provide an overview of the operational considerations and potential obstacles that can be anticipated during the implementation of pharmacogenomic research in clinical trials. Particular attention is given to the elements of the protocol and of the informed consent and the considerations for collection of different sample types on a global level. The goal is to provide the reader with an appreciation for the study design elements on an operational level rather than on a scientific or statistical study design level. Educational efforts by various working groups to harmonize global standards are also outlined and will provide the reader with an overview of the ongoing efforts to promote global genomic research in the present day.
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