{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2015:DUGSH33PSA2H2YYFBGPBDPTCSA","short_pith_number":"pith:DUGSH33P","schema_version":"1.0","canonical_sha256":"1d0d23ef6f90347d6305099e11be629037bebc4cca7995eeeaaf6c50d70329ee","source":{"kind":"arxiv","id":"1502.00530","version":1},"attestation_state":"computed","paper":{"title":"Optimal Two-Tier Forecasting Power Generation Model in Smart Grids","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.SY","authors_text":"Kianoosh G. Boroojeni, M.H. Amini, Shekoufeh Mokhtari, S.S. Iyengar","submitted_at":"2015-02-02T16:12:23Z","abstract_excerpt":"There has been an increasing trend in the electric power system from a centralized generation-driven grid to a more reliable, environmental friendly, and customer-driven grid. One of the most important issues which the designers of smart grids need to deal with is to forecast the fluctuations of power demand and generation in order to make the power system facilities more flexible to the variable nature of renewable power resources and demand-side. This paper proposes a novel two-tier scheme for forecasting the power demand and generation in a general residential electrical gird which uses the"},"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":"1502.00530","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SY","submitted_at":"2015-02-02T16:12:23Z","cross_cats_sorted":[],"title_canon_sha256":"7ebffb02208eb78e4b4e9e00a990ca75ff3630976e6c1c7b878d9a915a7790b1","abstract_canon_sha256":"494c7a3bbf47cd6d2fc9811bc3273a32a23e57b63726be019f70a2bef846794a"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:28:05.829853Z","signature_b64":"EIWnjvd4f9E4HZD/jdp00Nfn7xH5kV6KDLWRugy01H9wWgR2NlzIkJvpPh/f5+jJAZa5bVuRQZn9/KxIDloeBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1d0d23ef6f90347d6305099e11be629037bebc4cca7995eeeaaf6c50d70329ee","last_reissued_at":"2026-05-18T02:28:05.829455Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:28:05.829455Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Optimal Two-Tier Forecasting Power Generation Model in Smart Grids","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.SY","authors_text":"Kianoosh G. Boroojeni, M.H. Amini, Shekoufeh Mokhtari, S.S. Iyengar","submitted_at":"2015-02-02T16:12:23Z","abstract_excerpt":"There has been an increasing trend in the electric power system from a centralized generation-driven grid to a more reliable, environmental friendly, and customer-driven grid. One of the most important issues which the designers of smart grids need to deal with is to forecast the fluctuations of power demand and generation in order to make the power system facilities more flexible to the variable nature of renewable power resources and demand-side. This paper proposes a novel two-tier scheme for forecasting the power demand and generation in a general residential electrical gird which uses the"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1502.00530","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":"1502.00530","created_at":"2026-05-18T02:28:05.829513+00:00"},{"alias_kind":"arxiv_version","alias_value":"1502.00530v1","created_at":"2026-05-18T02:28:05.829513+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1502.00530","created_at":"2026-05-18T02:28:05.829513+00:00"},{"alias_kind":"pith_short_12","alias_value":"DUGSH33PSA2H","created_at":"2026-05-18T12:29:17.054201+00:00"},{"alias_kind":"pith_short_16","alias_value":"DUGSH33PSA2H2YYF","created_at":"2026-05-18T12:29:17.054201+00:00"},{"alias_kind":"pith_short_8","alias_value":"DUGSH33P","created_at":"2026-05-18T12:29:17.054201+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/DUGSH33PSA2H2YYFBGPBDPTCSA","json":"https://pith.science/pith/DUGSH33PSA2H2YYFBGPBDPTCSA.json","graph_json":"https://pith.science/api/pith-number/DUGSH33PSA2H2YYFBGPBDPTCSA/graph.json","events_json":"https://pith.science/api/pith-number/DUGSH33PSA2H2YYFBGPBDPTCSA/events.json","paper":"https://pith.science/paper/DUGSH33P"},"agent_actions":{"view_html":"https://pith.science/pith/DUGSH33PSA2H2YYFBGPBDPTCSA","download_json":"https://pith.science/pith/DUGSH33PSA2H2YYFBGPBDPTCSA.json","view_paper":"https://pith.science/paper/DUGSH33P","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1502.00530&json=true","fetch_graph":"https://pith.science/api/pith-number/DUGSH33PSA2H2YYFBGPBDPTCSA/graph.json","fetch_events":"https://pith.science/api/pith-number/DUGSH33PSA2H2YYFBGPBDPTCSA/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/DUGSH33PSA2H2YYFBGPBDPTCSA/action/timestamp_anchor","attest_storage":"https://pith.science/pith/DUGSH33PSA2H2YYFBGPBDPTCSA/action/storage_attestation","attest_author":"https://pith.science/pith/DUGSH33PSA2H2YYFBGPBDPTCSA/action/author_attestation","sign_citation":"https://pith.science/pith/DUGSH33PSA2H2YYFBGPBDPTCSA/action/citation_signature","submit_replication":"https://pith.science/pith/DUGSH33PSA2H2YYFBGPBDPTCSA/action/replication_record"}},"created_at":"2026-05-18T02:28:05.829513+00:00","updated_at":"2026-05-18T02:28:05.829513+00:00"}