{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2018:LP45XICGAUZZGMM27W2AV6LGPA","short_pith_number":"pith:LP45XICG","schema_version":"1.0","canonical_sha256":"5bf9dba046053393319afdb40af966783afae7f1e2d5d87fe2a9b8f90923817c","source":{"kind":"arxiv","id":"1803.07641","version":1},"attestation_state":"computed","paper":{"title":"An ADMM-based Coordination and Control Strategy for PV and Storage to Dispatch Stochastic Prosumers: Theory and Experimental Validation","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.SY"],"primary_cat":"eess.SY","authors_text":"Colin Jones, Emil Namor, Enrica Scolari, Fabrizio Sossan, Luca Fabietti, Mario Paolone, Rahul Gupta","submitted_at":"2018-03-20T20:39:07Z","abstract_excerpt":"This paper describes a two-layer control and coordination framework for distributed energy resources. The lower layer is a real-time model predictive control (MPC) executed at 10 s resolution to achieve fine tuning of a given energy set-point. The upper layer is a slower MPC coordination mechanism based on distributed optimization, and solved with the alternating direction method of multipliers (ADMM) at 5 minutes resolution. It is needed to coordinate the power flow among the controllable resources such that enough power is available in real-time to achieve a pre-established energy trajectory"},"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":"1803.07641","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.SY","submitted_at":"2018-03-20T20:39:07Z","cross_cats_sorted":["cs.SY"],"title_canon_sha256":"4d3f19c5a1ebe2c1aa04bcd120abc521b8ee98e0f81551fb5c1517e3aad9a7a1","abstract_canon_sha256":"3893c30cb0fade1703f10e204a435e66404de0977b43250958258d407349c957"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-04T19:11:42.743010Z","signature_b64":"C1tBq5O91eiqenZkx8EeiTU2X9NRX+TyIFwzbmqbMKobHTAOr5jqJ6caEhrglnG4iEHLGJh5frZ0Jq1TfARzBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5bf9dba046053393319afdb40af966783afae7f1e2d5d87fe2a9b8f90923817c","last_reissued_at":"2026-06-04T19:11:42.742391Z","signature_status":"signed_v1","first_computed_at":"2026-06-04T19:11:42.742391Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"An ADMM-based Coordination and Control Strategy for PV and Storage to Dispatch Stochastic Prosumers: Theory and Experimental Validation","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.SY"],"primary_cat":"eess.SY","authors_text":"Colin Jones, Emil Namor, Enrica Scolari, Fabrizio Sossan, Luca Fabietti, Mario Paolone, Rahul Gupta","submitted_at":"2018-03-20T20:39:07Z","abstract_excerpt":"This paper describes a two-layer control and coordination framework for distributed energy resources. The lower layer is a real-time model predictive control (MPC) executed at 10 s resolution to achieve fine tuning of a given energy set-point. The upper layer is a slower MPC coordination mechanism based on distributed optimization, and solved with the alternating direction method of multipliers (ADMM) at 5 minutes resolution. It is needed to coordinate the power flow among the controllable resources such that enough power is available in real-time to achieve a pre-established energy trajectory"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1803.07641","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/1803.07641/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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":"1803.07641","created_at":"2026-06-04T19:11:42.742476+00:00"},{"alias_kind":"arxiv_version","alias_value":"1803.07641v1","created_at":"2026-06-04T19:11:42.742476+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1803.07641","created_at":"2026-06-04T19:11:42.742476+00:00"},{"alias_kind":"pith_short_12","alias_value":"LP45XICGAUZZ","created_at":"2026-06-04T19:11:42.742476+00:00"},{"alias_kind":"pith_short_16","alias_value":"LP45XICGAUZZGMM2","created_at":"2026-06-04T19:11:42.742476+00:00"},{"alias_kind":"pith_short_8","alias_value":"LP45XICG","created_at":"2026-06-04T19:11:42.742476+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/LP45XICGAUZZGMM27W2AV6LGPA","json":"https://pith.science/pith/LP45XICGAUZZGMM27W2AV6LGPA.json","graph_json":"https://pith.science/api/pith-number/LP45XICGAUZZGMM27W2AV6LGPA/graph.json","events_json":"https://pith.science/api/pith-number/LP45XICGAUZZGMM27W2AV6LGPA/events.json","paper":"https://pith.science/paper/LP45XICG"},"agent_actions":{"view_html":"https://pith.science/pith/LP45XICGAUZZGMM27W2AV6LGPA","download_json":"https://pith.science/pith/LP45XICGAUZZGMM27W2AV6LGPA.json","view_paper":"https://pith.science/paper/LP45XICG","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1803.07641&json=true","fetch_graph":"https://pith.science/api/pith-number/LP45XICGAUZZGMM27W2AV6LGPA/graph.json","fetch_events":"https://pith.science/api/pith-number/LP45XICGAUZZGMM27W2AV6LGPA/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/LP45XICGAUZZGMM27W2AV6LGPA/action/timestamp_anchor","attest_storage":"https://pith.science/pith/LP45XICGAUZZGMM27W2AV6LGPA/action/storage_attestation","attest_author":"https://pith.science/pith/LP45XICGAUZZGMM27W2AV6LGPA/action/author_attestation","sign_citation":"https://pith.science/pith/LP45XICGAUZZGMM27W2AV6LGPA/action/citation_signature","submit_replication":"https://pith.science/pith/LP45XICGAUZZGMM27W2AV6LGPA/action/replication_record"}},"created_at":"2026-06-04T19:11:42.742476+00:00","updated_at":"2026-06-04T19:11:42.742476+00:00"}