{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2019:K3UEBLSLKFWU2BSSXWXKSYFARF","short_pith_number":"pith:K3UEBLSL","schema_version":"1.0","canonical_sha256":"56e840ae4b516d4d0652bdaea960a0895b715d99f52e960491eedb0469bc1061","source":{"kind":"arxiv","id":"1907.08125","version":1},"attestation_state":"computed","paper":{"title":"Centralised and Distributed Optimization for Aggregated Flexibility Services Provision","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.SY","math.OC"],"primary_cat":"eess.SY","authors_text":"A. Hentunen, A. Sumper, E. Prieto-Araujo, F. Rullan, J. Forsstr\\\"om, P. Lloret-Gallego, P. Olivella-Rosell, R. Ferrer-San-Jos\\'e, R. Villafafila-Robles, S. Barja-Martinez, S. Bjarghov, S. Ottesen, V. Lakshmanan","submitted_at":"2019-07-18T16:04:10Z","abstract_excerpt":"The recent deployment of distributed battery units in prosumer premises offer new opportunities for providing aggregated flexibility services to both distribution system operators and balance responsible parties. The optimization problem presented in this paper is formulated with an objective of cost minimization which includes energy and battery degradation cost to provide flexibility services. A decomposed solution approach with the alternating direction method of multipliers (ADMM) is used instead of commonly adopted centralised optimization to reduce the computational burden and time, 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":"1907.08125","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SY","submitted_at":"2019-07-18T16:04:10Z","cross_cats_sorted":["cs.SY","math.OC"],"title_canon_sha256":"88db56f32867feae1d0fdebf16839508b2ce1a0afdaf0b7dcba7ff352330c9cd","abstract_canon_sha256":"1b47813eef79c513eff73a4677cdbaa6c762885d11f5771f837e43e968c57445"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:40:15.053908Z","signature_b64":"H4+vrOaykpNvrhYZweSZVGZWy0lq+u6d1kfWOLDil8WPbfJjPeiab1JvJ15sOq3r8BVJ9kaJjsP2FetKyr96BQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"56e840ae4b516d4d0652bdaea960a0895b715d99f52e960491eedb0469bc1061","last_reissued_at":"2026-05-17T23:40:15.053197Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:40:15.053197Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Centralised and Distributed Optimization for Aggregated Flexibility Services Provision","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.SY","math.OC"],"primary_cat":"eess.SY","authors_text":"A. Hentunen, A. Sumper, E. Prieto-Araujo, F. Rullan, J. Forsstr\\\"om, P. Lloret-Gallego, P. Olivella-Rosell, R. Ferrer-San-Jos\\'e, R. Villafafila-Robles, S. Barja-Martinez, S. Bjarghov, S. Ottesen, V. Lakshmanan","submitted_at":"2019-07-18T16:04:10Z","abstract_excerpt":"The recent deployment of distributed battery units in prosumer premises offer new opportunities for providing aggregated flexibility services to both distribution system operators and balance responsible parties. The optimization problem presented in this paper is formulated with an objective of cost minimization which includes energy and battery degradation cost to provide flexibility services. A decomposed solution approach with the alternating direction method of multipliers (ADMM) is used instead of commonly adopted centralised optimization to reduce the computational burden and time, and "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1907.08125","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":""},"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":"1907.08125","created_at":"2026-05-17T23:40:15.053334+00:00"},{"alias_kind":"arxiv_version","alias_value":"1907.08125v1","created_at":"2026-05-17T23:40:15.053334+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1907.08125","created_at":"2026-05-17T23:40:15.053334+00:00"},{"alias_kind":"pith_short_12","alias_value":"K3UEBLSLKFWU","created_at":"2026-05-18T12:33:21.387695+00:00"},{"alias_kind":"pith_short_16","alias_value":"K3UEBLSLKFWU2BSS","created_at":"2026-05-18T12:33:21.387695+00:00"},{"alias_kind":"pith_short_8","alias_value":"K3UEBLSL","created_at":"2026-05-18T12:33:21.387695+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/K3UEBLSLKFWU2BSSXWXKSYFARF","json":"https://pith.science/pith/K3UEBLSLKFWU2BSSXWXKSYFARF.json","graph_json":"https://pith.science/api/pith-number/K3UEBLSLKFWU2BSSXWXKSYFARF/graph.json","events_json":"https://pith.science/api/pith-number/K3UEBLSLKFWU2BSSXWXKSYFARF/events.json","paper":"https://pith.science/paper/K3UEBLSL"},"agent_actions":{"view_html":"https://pith.science/pith/K3UEBLSLKFWU2BSSXWXKSYFARF","download_json":"https://pith.science/pith/K3UEBLSLKFWU2BSSXWXKSYFARF.json","view_paper":"https://pith.science/paper/K3UEBLSL","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1907.08125&json=true","fetch_graph":"https://pith.science/api/pith-number/K3UEBLSLKFWU2BSSXWXKSYFARF/graph.json","fetch_events":"https://pith.science/api/pith-number/K3UEBLSLKFWU2BSSXWXKSYFARF/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/K3UEBLSLKFWU2BSSXWXKSYFARF/action/timestamp_anchor","attest_storage":"https://pith.science/pith/K3UEBLSLKFWU2BSSXWXKSYFARF/action/storage_attestation","attest_author":"https://pith.science/pith/K3UEBLSLKFWU2BSSXWXKSYFARF/action/author_attestation","sign_citation":"https://pith.science/pith/K3UEBLSLKFWU2BSSXWXKSYFARF/action/citation_signature","submit_replication":"https://pith.science/pith/K3UEBLSLKFWU2BSSXWXKSYFARF/action/replication_record"}},"created_at":"2026-05-17T23:40:15.053334+00:00","updated_at":"2026-05-17T23:40:15.053334+00:00"}