{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2013:I2GROEKOAIZAODYQ42CKOA76VP","short_pith_number":"pith:I2GROEKO","canonical_record":{"source":{"id":"1310.7292","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.OC","submitted_at":"2013-10-28T02:16:15Z","cross_cats_sorted":[],"title_canon_sha256":"7fe8d76cf6255dd88910c52c5f093e3f3bec02a661aca8a17cc56924f1ee32f8","abstract_canon_sha256":"32fdc1efda3b194c17240e81071190f446942613cb708daee80bc456dfea1328"},"schema_version":"1.0"},"canonical_sha256":"468d17114e0232070f10e684a703feabdc88071241d6d5a19f2c3fc7ec812f96","source":{"kind":"arxiv","id":"1310.7292","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1310.7292","created_at":"2026-05-18T03:08:45Z"},{"alias_kind":"arxiv_version","alias_value":"1310.7292v1","created_at":"2026-05-18T03:08:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1310.7292","created_at":"2026-05-18T03:08:45Z"},{"alias_kind":"pith_short_12","alias_value":"I2GROEKOAIZA","created_at":"2026-05-18T12:27:46Z"},{"alias_kind":"pith_short_16","alias_value":"I2GROEKOAIZAODYQ","created_at":"2026-05-18T12:27:46Z"},{"alias_kind":"pith_short_8","alias_value":"I2GROEKO","created_at":"2026-05-18T12:27:46Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2013:I2GROEKOAIZAODYQ42CKOA76VP","target":"record","payload":{"canonical_record":{"source":{"id":"1310.7292","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.OC","submitted_at":"2013-10-28T02:16:15Z","cross_cats_sorted":[],"title_canon_sha256":"7fe8d76cf6255dd88910c52c5f093e3f3bec02a661aca8a17cc56924f1ee32f8","abstract_canon_sha256":"32fdc1efda3b194c17240e81071190f446942613cb708daee80bc456dfea1328"},"schema_version":"1.0"},"canonical_sha256":"468d17114e0232070f10e684a703feabdc88071241d6d5a19f2c3fc7ec812f96","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T03:08:45.752833Z","signature_b64":"ZM5JcW96lS/7KEtsrSyAsUh1XMZkiAbRmf/VR3fhL+AO5QlAerwWGvk+T6ZTjF1ri5WfOXU7+ZhiYhmSoqeACg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"468d17114e0232070f10e684a703feabdc88071241d6d5a19f2c3fc7ec812f96","last_reissued_at":"2026-05-18T03:08:45.752263Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T03:08:45.752263Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1310.7292","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T03:08:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1p2FblxgJHvyTAMipbtWuI8ByQJRuqcJj8YTiuMvOqPop/F42HB+UoRpNMh4TYiOXB+0A8TF5cVCHP0CgK9eCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-08T16:18:11.804138Z"},"content_sha256":"9152fd6ace991d538610b9697c3afdbbd6e005b113074572973eca0dc4d338f4","schema_version":"1.0","event_id":"sha256:9152fd6ace991d538610b9697c3afdbbd6e005b113074572973eca0dc4d338f4"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2013:I2GROEKOAIZAODYQ42CKOA76VP","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Robust Optimal Power Flow with Wind Integration Using Conditional Value-at-Risk","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"math.OC","authors_text":"Georgios B. Giannakis, Yu Zhang","submitted_at":"2013-10-28T02:16:15Z","abstract_excerpt":"Integrating renewable energy into the power grid requires intelligent risk-aware dispatch accounting for the stochastic availability of renewables. Toward achieving this goal, a robust DC optimal flow problem is developed in the present paper for power systems with a high penetration of wind energy. The optimal dispatch is obtained as the solution to a convex program with a suitable regularizer, which is able to mitigate the potentially high risk of inadequate wind power. The regularizer is constructed based on the energy transaction cost using conditional value-at-risk (CVaR). Bypassing the p"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1310.7292","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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T03:08:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"gyx2DrLsHuJeXIW3jx7bb898WT9d0iVHJUgxr9oH2lYlVRrWTjCm4otlIO74vELaDzjj/0UTv60qU4FEtrNnDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-08T16:18:11.804931Z"},"content_sha256":"5aeaff39ca2cb09d10762ebbc1f358524c427b9083927244252017a71e19a37e","schema_version":"1.0","event_id":"sha256:5aeaff39ca2cb09d10762ebbc1f358524c427b9083927244252017a71e19a37e"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/I2GROEKOAIZAODYQ42CKOA76VP/bundle.json","state_url":"https://pith.science/pith/I2GROEKOAIZAODYQ42CKOA76VP/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/I2GROEKOAIZAODYQ42CKOA76VP/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-06-08T16:18:11Z","links":{"resolver":"https://pith.science/pith/I2GROEKOAIZAODYQ42CKOA76VP","bundle":"https://pith.science/pith/I2GROEKOAIZAODYQ42CKOA76VP/bundle.json","state":"https://pith.science/pith/I2GROEKOAIZAODYQ42CKOA76VP/state.json","well_known_bundle":"https://pith.science/.well-known/pith/I2GROEKOAIZAODYQ42CKOA76VP/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2013:I2GROEKOAIZAODYQ42CKOA76VP","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"32fdc1efda3b194c17240e81071190f446942613cb708daee80bc456dfea1328","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.OC","submitted_at":"2013-10-28T02:16:15Z","title_canon_sha256":"7fe8d76cf6255dd88910c52c5f093e3f3bec02a661aca8a17cc56924f1ee32f8"},"schema_version":"1.0","source":{"id":"1310.7292","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1310.7292","created_at":"2026-05-18T03:08:45Z"},{"alias_kind":"arxiv_version","alias_value":"1310.7292v1","created_at":"2026-05-18T03:08:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1310.7292","created_at":"2026-05-18T03:08:45Z"},{"alias_kind":"pith_short_12","alias_value":"I2GROEKOAIZA","created_at":"2026-05-18T12:27:46Z"},{"alias_kind":"pith_short_16","alias_value":"I2GROEKOAIZAODYQ","created_at":"2026-05-18T12:27:46Z"},{"alias_kind":"pith_short_8","alias_value":"I2GROEKO","created_at":"2026-05-18T12:27:46Z"}],"graph_snapshots":[{"event_id":"sha256:5aeaff39ca2cb09d10762ebbc1f358524c427b9083927244252017a71e19a37e","target":"graph","created_at":"2026-05-18T03:08:45Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"paper":{"abstract_excerpt":"Integrating renewable energy into the power grid requires intelligent risk-aware dispatch accounting for the stochastic availability of renewables. Toward achieving this goal, a robust DC optimal flow problem is developed in the present paper for power systems with a high penetration of wind energy. The optimal dispatch is obtained as the solution to a convex program with a suitable regularizer, which is able to mitigate the potentially high risk of inadequate wind power. The regularizer is constructed based on the energy transaction cost using conditional value-at-risk (CVaR). Bypassing the p","authors_text":"Georgios B. Giannakis, Yu Zhang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.OC","submitted_at":"2013-10-28T02:16:15Z","title":"Robust Optimal Power Flow with Wind Integration Using Conditional Value-at-Risk"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1310.7292","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:9152fd6ace991d538610b9697c3afdbbd6e005b113074572973eca0dc4d338f4","target":"record","created_at":"2026-05-18T03:08:45Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"32fdc1efda3b194c17240e81071190f446942613cb708daee80bc456dfea1328","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.OC","submitted_at":"2013-10-28T02:16:15Z","title_canon_sha256":"7fe8d76cf6255dd88910c52c5f093e3f3bec02a661aca8a17cc56924f1ee32f8"},"schema_version":"1.0","source":{"id":"1310.7292","kind":"arxiv","version":1}},"canonical_sha256":"468d17114e0232070f10e684a703feabdc88071241d6d5a19f2c3fc7ec812f96","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"468d17114e0232070f10e684a703feabdc88071241d6d5a19f2c3fc7ec812f96","first_computed_at":"2026-05-18T03:08:45.752263Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T03:08:45.752263Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ZM5JcW96lS/7KEtsrSyAsUh1XMZkiAbRmf/VR3fhL+AO5QlAerwWGvk+T6ZTjF1ri5WfOXU7+ZhiYhmSoqeACg==","signature_status":"signed_v1","signed_at":"2026-05-18T03:08:45.752833Z","signed_message":"canonical_sha256_bytes"},"source_id":"1310.7292","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9152fd6ace991d538610b9697c3afdbbd6e005b113074572973eca0dc4d338f4","sha256:5aeaff39ca2cb09d10762ebbc1f358524c427b9083927244252017a71e19a37e"],"state_sha256":"cccc6ec92689f873679a915c9fea05cde3d45efcc5aed826c3fdb9355f44204d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0x7KALdm6zwzHdBC3ExNXnit6sB8vqOiubNb65kju5e9sq6bXVoZp9F9bk82QePNx2skHV0cKJhS+m3I3j4vDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-08T16:18:11.809892Z","bundle_sha256":"a52e07847f3294d991de9b1a9295310dda67c5e27c247a658973722fd0772b29"}}