{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:SRTAJV2FWH6QCQM7FCK532RRRT","short_pith_number":"pith:SRTAJV2F","schema_version":"1.0","canonical_sha256":"946604d745b1fd01419f2895ddea318cccca264915e992f70e85abb751ac4c08","source":{"kind":"arxiv","id":"2502.07010","version":1},"attestation_state":"computed","paper":{"title":"Enhanced Renewable Energy Forecasting and Operations through Probabilistic Forecast Aggregation","license":"http://creativecommons.org/licenses/by-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"stat.AP","authors_text":"Alireza Moradi, Mathieu Tanneau, Pascal Van Hentenryck, Reza Zandehshahvar","submitted_at":"2025-02-10T20:15:02Z","abstract_excerpt":"Accurate and reliable forecasting of renewable energy generation is crucial for the efficient integration of renewable sources into the power grid. In particular, probabilistic forecasts are becoming essential for managing the intrinsic variability and uncertainty of renewable energy production, especially wind and solar generation. This paper considers the setting where probabilistic forecasts are provided for individual renewable energy sites using, e.g., quantile regression models, but without any correlation information between sites. This setting is common if, e.g., such forecasts are pro"},"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":"2502.07010","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"stat.AP","submitted_at":"2025-02-10T20:15:02Z","cross_cats_sorted":[],"title_canon_sha256":"f6ac92dfef5fc01b8788d4a78c11e0c3ed2862da279f4548889677df9839c43c","abstract_canon_sha256":"61c678c148de5747dad1c94cd3f6d7b921246a16c02303ff83059e421f3ff145"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:12:31.231685Z","signature_b64":"kUYlEqd0CN5cDtbAHnjEnubZXhuyIjnGpFhJQ6z8LLjdq2FWFPvST758zbT+Xy6wav+5T4gxKSs0E/I2HSKpAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"946604d745b1fd01419f2895ddea318cccca264915e992f70e85abb751ac4c08","last_reissued_at":"2026-07-05T10:12:31.231262Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:12:31.231262Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Enhanced Renewable Energy Forecasting and Operations through Probabilistic Forecast Aggregation","license":"http://creativecommons.org/licenses/by-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"stat.AP","authors_text":"Alireza Moradi, Mathieu Tanneau, Pascal Van Hentenryck, Reza Zandehshahvar","submitted_at":"2025-02-10T20:15:02Z","abstract_excerpt":"Accurate and reliable forecasting of renewable energy generation is crucial for the efficient integration of renewable sources into the power grid. In particular, probabilistic forecasts are becoming essential for managing the intrinsic variability and uncertainty of renewable energy production, especially wind and solar generation. This paper considers the setting where probabilistic forecasts are provided for individual renewable energy sites using, e.g., quantile regression models, but without any correlation information between sites. This setting is common if, e.g., such forecasts are pro"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.07010","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/2502.07010/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":"2502.07010","created_at":"2026-07-05T10:12:31.231324+00:00"},{"alias_kind":"arxiv_version","alias_value":"2502.07010v1","created_at":"2026-07-05T10:12:31.231324+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.07010","created_at":"2026-07-05T10:12:31.231324+00:00"},{"alias_kind":"pith_short_12","alias_value":"SRTAJV2FWH6Q","created_at":"2026-07-05T10:12:31.231324+00:00"},{"alias_kind":"pith_short_16","alias_value":"SRTAJV2FWH6QCQM7","created_at":"2026-07-05T10:12:31.231324+00:00"},{"alias_kind":"pith_short_8","alias_value":"SRTAJV2F","created_at":"2026-07-05T10:12:31.231324+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/SRTAJV2FWH6QCQM7FCK532RRRT","json":"https://pith.science/pith/SRTAJV2FWH6QCQM7FCK532RRRT.json","graph_json":"https://pith.science/api/pith-number/SRTAJV2FWH6QCQM7FCK532RRRT/graph.json","events_json":"https://pith.science/api/pith-number/SRTAJV2FWH6QCQM7FCK532RRRT/events.json","paper":"https://pith.science/paper/SRTAJV2F"},"agent_actions":{"view_html":"https://pith.science/pith/SRTAJV2FWH6QCQM7FCK532RRRT","download_json":"https://pith.science/pith/SRTAJV2FWH6QCQM7FCK532RRRT.json","view_paper":"https://pith.science/paper/SRTAJV2F","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2502.07010&json=true","fetch_graph":"https://pith.science/api/pith-number/SRTAJV2FWH6QCQM7FCK532RRRT/graph.json","fetch_events":"https://pith.science/api/pith-number/SRTAJV2FWH6QCQM7FCK532RRRT/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/SRTAJV2FWH6QCQM7FCK532RRRT/action/timestamp_anchor","attest_storage":"https://pith.science/pith/SRTAJV2FWH6QCQM7FCK532RRRT/action/storage_attestation","attest_author":"https://pith.science/pith/SRTAJV2FWH6QCQM7FCK532RRRT/action/author_attestation","sign_citation":"https://pith.science/pith/SRTAJV2FWH6QCQM7FCK532RRRT/action/citation_signature","submit_replication":"https://pith.science/pith/SRTAJV2FWH6QCQM7FCK532RRRT/action/replication_record"}},"created_at":"2026-07-05T10:12:31.231324+00:00","updated_at":"2026-07-05T10:12:31.231324+00:00"}