{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:AJZJAGLURJMNV64UYNBSEAR2UP","short_pith_number":"pith:AJZJAGLU","schema_version":"1.0","canonical_sha256":"02729019748a58dafb94c34322023aa3e3c41dc458552f478ba2f00136a95d05","source":{"kind":"arxiv","id":"2412.07075","version":1},"attestation_state":"computed","paper":{"title":"Conformal Uncertainty Quantification of Electricity Price Predictions for Risk-Averse Storage Arbitrage","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["stat.ML"],"primary_cat":"math.OC","authors_text":"Bolun Xu, Ming Yi, Saud Alghumayjan","submitted_at":"2024-12-10T00:31:15Z","abstract_excerpt":"This paper proposes a risk-averse approach to energy storage price arbitrage, leveraging conformal uncertainty quantification for electricity price predictions. The method addresses the significant challenges posed by the inherent volatility and uncertainty of real-time electricity prices, which create substantial risks of financial losses for energy storage participants relying on future price forecasts to plan their operations. The framework comprises a two-layer prediction model to quantify real-time price uncertainty confidence intervals with high coverage. The framework is distribution-fr"},"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":"2412.07075","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"math.OC","submitted_at":"2024-12-10T00:31:15Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"4cffc71117da4b6478b96681d7255c6e172428ca31bf98c745d451656f3a7766","abstract_canon_sha256":"91b9b0b59cc9593e753f1dad742737fa6badc7162a64bbf416450d2fce32a490"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:47:03.087634Z","signature_b64":"9U9HTvM5MCJvWj63aZdDFjEeqMsXrdjSnT132t1lW3amPU3V0fEG24DOWjEJDGNMlyKlQMDQO2yR/U0igo31AA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"02729019748a58dafb94c34322023aa3e3c41dc458552f478ba2f00136a95d05","last_reissued_at":"2026-07-05T09:47:03.087220Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:47:03.087220Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Conformal Uncertainty Quantification of Electricity Price Predictions for Risk-Averse Storage Arbitrage","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["stat.ML"],"primary_cat":"math.OC","authors_text":"Bolun Xu, Ming Yi, Saud Alghumayjan","submitted_at":"2024-12-10T00:31:15Z","abstract_excerpt":"This paper proposes a risk-averse approach to energy storage price arbitrage, leveraging conformal uncertainty quantification for electricity price predictions. The method addresses the significant challenges posed by the inherent volatility and uncertainty of real-time electricity prices, which create substantial risks of financial losses for energy storage participants relying on future price forecasts to plan their operations. The framework comprises a two-layer prediction model to quantify real-time price uncertainty confidence intervals with high coverage. The framework is distribution-fr"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.07075","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/2412.07075/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":"2412.07075","created_at":"2026-07-05T09:47:03.087276+00:00"},{"alias_kind":"arxiv_version","alias_value":"2412.07075v1","created_at":"2026-07-05T09:47:03.087276+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.07075","created_at":"2026-07-05T09:47:03.087276+00:00"},{"alias_kind":"pith_short_12","alias_value":"AJZJAGLURJMN","created_at":"2026-07-05T09:47:03.087276+00:00"},{"alias_kind":"pith_short_16","alias_value":"AJZJAGLURJMNV64U","created_at":"2026-07-05T09:47:03.087276+00:00"},{"alias_kind":"pith_short_8","alias_value":"AJZJAGLU","created_at":"2026-07-05T09:47:03.087276+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/AJZJAGLURJMNV64UYNBSEAR2UP","json":"https://pith.science/pith/AJZJAGLURJMNV64UYNBSEAR2UP.json","graph_json":"https://pith.science/api/pith-number/AJZJAGLURJMNV64UYNBSEAR2UP/graph.json","events_json":"https://pith.science/api/pith-number/AJZJAGLURJMNV64UYNBSEAR2UP/events.json","paper":"https://pith.science/paper/AJZJAGLU"},"agent_actions":{"view_html":"https://pith.science/pith/AJZJAGLURJMNV64UYNBSEAR2UP","download_json":"https://pith.science/pith/AJZJAGLURJMNV64UYNBSEAR2UP.json","view_paper":"https://pith.science/paper/AJZJAGLU","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2412.07075&json=true","fetch_graph":"https://pith.science/api/pith-number/AJZJAGLURJMNV64UYNBSEAR2UP/graph.json","fetch_events":"https://pith.science/api/pith-number/AJZJAGLURJMNV64UYNBSEAR2UP/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/AJZJAGLURJMNV64UYNBSEAR2UP/action/timestamp_anchor","attest_storage":"https://pith.science/pith/AJZJAGLURJMNV64UYNBSEAR2UP/action/storage_attestation","attest_author":"https://pith.science/pith/AJZJAGLURJMNV64UYNBSEAR2UP/action/author_attestation","sign_citation":"https://pith.science/pith/AJZJAGLURJMNV64UYNBSEAR2UP/action/citation_signature","submit_replication":"https://pith.science/pith/AJZJAGLURJMNV64UYNBSEAR2UP/action/replication_record"}},"created_at":"2026-07-05T09:47:03.087276+00:00","updated_at":"2026-07-05T09:47:03.087276+00:00"}