{"doi":"10.1109/tim.2022.3167722","title":"State and Topology Estimation for Unobservable Distribution Systems Using Deep Neural Networks","abstract":"Time-synchronized state estimation for reconfigurable distribution networks is challenging because of limited real-time observability. This article addresses this challenge by formulating a deep learning (DL)-based approach for topology identification (TI) and unbalanced three-phase distribution system state estimation (DSSE). Two deep neural networks (DNNs) are trained for <italic xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">time-</i> synchronized DNN-based TI and DSSE, respectively, for systems that are incompletely observed by synchrophasor measurement devices (SMDs) in real time. A data-driven approach for judicious SMD placement to facilitate reliable TI and DSSE is also provided. Robustness of the proposed methodology is demonstrated by considering non-Gaussian noise in the SMD measurements. A comparison of the DNN-based DSSE with more conventional approaches indicates that the DL-based approach gives better accuracy with smaller number of SMDs.","journal":"IEEE Transactions on Instrumentation and Measurement","year":2022,"id":234596,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":94,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9616,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2022-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":850793,"name":"Reetam Sen Biswas","orcid":"0000-0002-4104-5307","position":1,"is_corresponding":false},{"id":850794,"name":"Shiva Moshtagh","orcid":"0000-0001-5682-172X","position":2,"is_corresponding":false},{"id":850795,"name":"Anamitra Pal","orcid":"0000-0001-8377-8480","position":3,"is_corresponding":false},{"id":850796,"name":"Lang Tong","orcid":"0000-0003-3322-2681","position":4,"is_corresponding":false},{"id":618264,"name":"Gautam Dasarathy","orcid":"0000-0003-2252-2988","position":5,"is_corresponding":false},{"id":850792,"name":"Behrouz Azimian","orcid":"0000-0003-4459-670X","position":0,"is_corresponding":true}],"reference_count":51,"raw_metadata":null,"created_at":"2026-07-19T00:21:42.662304Z","pmid":"36277673","pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}