{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2017:YDRMT2BLOO7AC3RJ7E76QK67EQ","short_pith_number":"pith:YDRMT2BL","schema_version":"1.0","canonical_sha256":"c0e2c9e82b73be016e29f93fe82bdf24042b2fcadda2a5fb803c587159a6c302","source":{"kind":"arxiv","id":"1702.08262","version":5},"attestation_state":"computed","paper":{"title":"Sequential Discrete Kalman Filter for Real-Time State Estimation in Power Distribution Systems: Theory and Implementation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.AP","authors_text":"Andreas Martin Kettner, Mario Paolone","submitted_at":"2017-02-27T13:03:33Z","abstract_excerpt":"This paper demonstrates the feasibility of implementing Real-Time State Estimators (RTSEs) for Active Distribution Networks (ADNs) in Field-Programmable Gate Arrays (FPGAs) by presenting an operational prototype. The prototype is based on a Linear State Estimator (LSE) that uses synchrophasor measurements from Phasor Measurement Units (PMUs). The underlying algorithm is the Sequential Discrete Kalman Filter (SDKF), an equivalent formulation of the Discrete Kalman Filter (DKF) for the case of uncorrelated measurement noise. In this regard, this work formally proves the equivalence the SDKF and "},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"1702.08262","kind":"arxiv","version":5},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2017-02-27T13:03:33Z","cross_cats_sorted":[],"title_canon_sha256":"755fd9344b52200657f8680f3366aa5056c2840d2db375ba2ce2c1bd4fd7be99","abstract_canon_sha256":"81d31996c411c990a2a002d4f0c351705dbff8baab2dde4c82419c06a17d0dfd"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:27:21.717131Z","signature_b64":"K0FlL/6Mi9TUZnkPVSUnNRGgn22sLjUsioYbAfWJEV9tQ1ZSDOhYGuRz2C0nCgpyn2XXNJl0F42hcIiYxrF4AQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c0e2c9e82b73be016e29f93fe82bdf24042b2fcadda2a5fb803c587159a6c302","last_reissued_at":"2026-05-18T00:27:21.716574Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:27:21.716574Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Sequential Discrete Kalman Filter for Real-Time State Estimation in Power Distribution Systems: Theory and Implementation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.AP","authors_text":"Andreas Martin Kettner, Mario Paolone","submitted_at":"2017-02-27T13:03:33Z","abstract_excerpt":"This paper demonstrates the feasibility of implementing Real-Time State Estimators (RTSEs) for Active Distribution Networks (ADNs) in Field-Programmable Gate Arrays (FPGAs) by presenting an operational prototype. The prototype is based on a Linear State Estimator (LSE) that uses synchrophasor measurements from Phasor Measurement Units (PMUs). The underlying algorithm is the Sequential Discrete Kalman Filter (SDKF), an equivalent formulation of the Discrete Kalman Filter (DKF) for the case of uncorrelated measurement noise. In this regard, this work formally proves the equivalence the SDKF and "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1702.08262","kind":"arxiv","version":5},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"1702.08262","created_at":"2026-05-18T00:27:21.716656+00:00"},{"alias_kind":"arxiv_version","alias_value":"1702.08262v5","created_at":"2026-05-18T00:27:21.716656+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1702.08262","created_at":"2026-05-18T00:27:21.716656+00:00"},{"alias_kind":"pith_short_12","alias_value":"YDRMT2BLOO7A","created_at":"2026-05-18T12:31:56.362134+00:00"},{"alias_kind":"pith_short_16","alias_value":"YDRMT2BLOO7AC3RJ","created_at":"2026-05-18T12:31:56.362134+00:00"},{"alias_kind":"pith_short_8","alias_value":"YDRMT2BL","created_at":"2026-05-18T12:31:56.362134+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/YDRMT2BLOO7AC3RJ7E76QK67EQ","json":"https://pith.science/pith/YDRMT2BLOO7AC3RJ7E76QK67EQ.json","graph_json":"https://pith.science/api/pith-number/YDRMT2BLOO7AC3RJ7E76QK67EQ/graph.json","events_json":"https://pith.science/api/pith-number/YDRMT2BLOO7AC3RJ7E76QK67EQ/events.json","paper":"https://pith.science/paper/YDRMT2BL"},"agent_actions":{"view_html":"https://pith.science/pith/YDRMT2BLOO7AC3RJ7E76QK67EQ","download_json":"https://pith.science/pith/YDRMT2BLOO7AC3RJ7E76QK67EQ.json","view_paper":"https://pith.science/paper/YDRMT2BL","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1702.08262&json=true","fetch_graph":"https://pith.science/api/pith-number/YDRMT2BLOO7AC3RJ7E76QK67EQ/graph.json","fetch_events":"https://pith.science/api/pith-number/YDRMT2BLOO7AC3RJ7E76QK67EQ/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/YDRMT2BLOO7AC3RJ7E76QK67EQ/action/timestamp_anchor","attest_storage":"https://pith.science/pith/YDRMT2BLOO7AC3RJ7E76QK67EQ/action/storage_attestation","attest_author":"https://pith.science/pith/YDRMT2BLOO7AC3RJ7E76QK67EQ/action/author_attestation","sign_citation":"https://pith.science/pith/YDRMT2BLOO7AC3RJ7E76QK67EQ/action/citation_signature","submit_replication":"https://pith.science/pith/YDRMT2BLOO7AC3RJ7E76QK67EQ/action/replication_record"}},"created_at":"2026-05-18T00:27:21.716656+00:00","updated_at":"2026-05-18T00:27:21.716656+00:00"}