{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2009:LIUZMF47MWLFVM77SJTY6TQUBS","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":"9d39e8095d289e10057bc739908152c3a45c3bd432d0f761bc402206ce09567a","cross_cats_sorted":["cs.NA","math.NA","physics.data-an"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2009-06-01T16:02:10Z","title_canon_sha256":"1d565a8b4afa239bf8dafb4e1f6b6a5c127fc9b87253c5dcbe12be765e3670c2"},"schema_version":"1.0","source":{"id":"0906.0311","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"0906.0311","created_at":"2026-06-03T23:06:26Z"},{"alias_kind":"arxiv_version","alias_value":"0906.0311v1","created_at":"2026-06-03T23:06:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.0906.0311","created_at":"2026-06-03T23:06:26Z"},{"alias_kind":"pith_short_12","alias_value":"LIUZMF47MWLF","created_at":"2026-06-03T23:06:26Z"},{"alias_kind":"pith_short_16","alias_value":"LIUZMF47MWLFVM77","created_at":"2026-06-03T23:06:26Z"},{"alias_kind":"pith_short_8","alias_value":"LIUZMF47","created_at":"2026-06-03T23:06:26Z"}],"graph_snapshots":[{"event_id":"sha256:a9af8022ead6722cebca2e164ade342abce1fc13f3ffb717d62c36cd92f75b75","target":"graph","created_at":"2026-06-03T23:06:26Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/0906.0311/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In this paper, we present an application of neural networks in the renewable energy domain. We have developed a methodology for the daily prediction of global solar radiation on a horizontal surface. We use an ad-hoc time series preprocessing and a Multi-Layer Perceptron (MLP) in order to predict solar radiation at daily horizon. First results are promising with nRMSE < 21% and RMSE < 998 Wh/m2. Our optimized MLP presents prediction similar to or even better than conventional methods such as ARIMA techniques, Bayesian inference, Markov chains and k-Nearest-Neighbors approximators. Moreover we ","authors_text":"Christophe Paoli, Cyril Voyant, Marc Muselli, Marie-Laure Nivet","cross_cats":["cs.NA","math.NA","physics.data-an"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2009-06-01T16:02:10Z","title":"Solar radiation forecasting using ad-hoc time series preprocessing and neural networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"0906.0311","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":"sha256:923f5fbd256ecc1a93629cb8530f713d0b3bc0c06b8e1b030834cc32c8cbb734","target":"record","created_at":"2026-06-03T23:06:26Z","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":"9d39e8095d289e10057bc739908152c3a45c3bd432d0f761bc402206ce09567a","cross_cats_sorted":["cs.NA","math.NA","physics.data-an"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2009-06-01T16:02:10Z","title_canon_sha256":"1d565a8b4afa239bf8dafb4e1f6b6a5c127fc9b87253c5dcbe12be765e3670c2"},"schema_version":"1.0","source":{"id":"0906.0311","kind":"arxiv","version":1}},"canonical_sha256":"5a2996179f65965ab3ff92678f4e140cb3c02107b80d3d3f77188aec31fe722b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5a2996179f65965ab3ff92678f4e140cb3c02107b80d3d3f77188aec31fe722b","first_computed_at":"2026-06-03T23:06:26.761565Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-03T23:06:26.761565Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"xFrpTmau6Y2N3kxHQx912ui53j51Y8YSrN3lOTzaOrgCz8ksHPdepbA1OMqG5Rf0gPy48MNNElXgdBwodS98AA==","signature_status":"signed_v1","signed_at":"2026-06-03T23:06:26.762077Z","signed_message":"canonical_sha256_bytes"},"source_id":"0906.0311","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:923f5fbd256ecc1a93629cb8530f713d0b3bc0c06b8e1b030834cc32c8cbb734","sha256:a9af8022ead6722cebca2e164ade342abce1fc13f3ffb717d62c36cd92f75b75"],"state_sha256":"43974fa1b7b5f07cfd6e165b2b653ea19dc0721f744e55d29a50bc26c776074e"}