Research on DBN-based Evaluation of Distribution Network Reliability
نویسندگان
چکیده
In order to accurately and efficiently analyze the reliability of distribution network, this paper proposes a method analyzing network based on deep belief network. The Deep Belief Network (DBN) is composed limiting Boltzmann machine layer-by-layer stacking. It has strong advantage automatic feature extraction, which overcomes shortcomings traditional neural networks in extracting data features. entire training process DBN can be roughly divided into two stages: pre-training fine-tuning.First all, model realized by Restricted Machine (RBM) layer layer, then BP algorithm used for reverse fine-tuning complete finally, analysis performed trained DBN. Compared with Monte Carlo simulation method, it verified that proposed high accuracy.
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ژورنال
عنوان ژورنال: E3S web of conferences
سال: 2021
ISSN: ['2555-0403', '2267-1242']
DOI: https://doi.org/10.1051/e3sconf/202124203004