{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2018:B2YVDVACUJW2LKOWCCJ5ILER5E","short_pith_number":"pith:B2YVDVAC","schema_version":"1.0","canonical_sha256":"0eb151d402a26da5a9d61093d42c91e91faf4eca53f3a1a677cd4858274db38e","source":{"kind":"arxiv","id":"1808.10854","version":1},"attestation_state":"computed","paper":{"title":"Forecasting solar radiation during dust storms using deep learning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["physics.data-an"],"primary_cat":"physics.ao-ph","authors_text":"B. Ravindra","submitted_at":"2018-08-25T02:35:47Z","abstract_excerpt":"Dust storms are common in arid zones on the earth and others planets such as Mars. The impact of dust storms on solar radiation has significant implications for solar power plants and autonomous vehicles powered by solar panels. This paper deals with the analysis of solar radiation and power output of a rooftop photovoltaic plant during a dust storm and proposes a forecasting methodology using deep learning network. The increased aerosol content due to dust storms increases the diffuse component of the solar radiation. This effect persists for a long duration and can impact the quality of fore"},"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":"1808.10854","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.ao-ph","submitted_at":"2018-08-25T02:35:47Z","cross_cats_sorted":["physics.data-an"],"title_canon_sha256":"aec20c025c957562237f423063db2c3305094e2bca238d9d1509988247ec6b32","abstract_canon_sha256":"4789539df1585049207824dcb447789509a95e1551db5fe861c61493d6c65e1c"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:06:44.459934Z","signature_b64":"nNP0RkGoEybMpxxPN2p2rvfHylgVHNaaM3ekj/K0f+B/pXomb3gEr5YJYM69IasZmSJdKu01nr+6UgHI7sL1DQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0eb151d402a26da5a9d61093d42c91e91faf4eca53f3a1a677cd4858274db38e","last_reissued_at":"2026-05-18T00:06:44.459433Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:06:44.459433Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Forecasting solar radiation during dust storms using deep learning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["physics.data-an"],"primary_cat":"physics.ao-ph","authors_text":"B. Ravindra","submitted_at":"2018-08-25T02:35:47Z","abstract_excerpt":"Dust storms are common in arid zones on the earth and others planets such as Mars. The impact of dust storms on solar radiation has significant implications for solar power plants and autonomous vehicles powered by solar panels. This paper deals with the analysis of solar radiation and power output of a rooftop photovoltaic plant during a dust storm and proposes a forecasting methodology using deep learning network. The increased aerosol content due to dust storms increases the diffuse component of the solar radiation. This effect persists for a long duration and can impact the quality of fore"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1808.10854","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":"1808.10854","created_at":"2026-05-18T00:06:44.459502+00:00"},{"alias_kind":"arxiv_version","alias_value":"1808.10854v1","created_at":"2026-05-18T00:06:44.459502+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1808.10854","created_at":"2026-05-18T00:06:44.459502+00:00"},{"alias_kind":"pith_short_12","alias_value":"B2YVDVACUJW2","created_at":"2026-05-18T12:32:13.499390+00:00"},{"alias_kind":"pith_short_16","alias_value":"B2YVDVACUJW2LKOW","created_at":"2026-05-18T12:32:13.499390+00:00"},{"alias_kind":"pith_short_8","alias_value":"B2YVDVAC","created_at":"2026-05-18T12:32:13.499390+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/B2YVDVACUJW2LKOWCCJ5ILER5E","json":"https://pith.science/pith/B2YVDVACUJW2LKOWCCJ5ILER5E.json","graph_json":"https://pith.science/api/pith-number/B2YVDVACUJW2LKOWCCJ5ILER5E/graph.json","events_json":"https://pith.science/api/pith-number/B2YVDVACUJW2LKOWCCJ5ILER5E/events.json","paper":"https://pith.science/paper/B2YVDVAC"},"agent_actions":{"view_html":"https://pith.science/pith/B2YVDVACUJW2LKOWCCJ5ILER5E","download_json":"https://pith.science/pith/B2YVDVACUJW2LKOWCCJ5ILER5E.json","view_paper":"https://pith.science/paper/B2YVDVAC","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1808.10854&json=true","fetch_graph":"https://pith.science/api/pith-number/B2YVDVACUJW2LKOWCCJ5ILER5E/graph.json","fetch_events":"https://pith.science/api/pith-number/B2YVDVACUJW2LKOWCCJ5ILER5E/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/B2YVDVACUJW2LKOWCCJ5ILER5E/action/timestamp_anchor","attest_storage":"https://pith.science/pith/B2YVDVACUJW2LKOWCCJ5ILER5E/action/storage_attestation","attest_author":"https://pith.science/pith/B2YVDVACUJW2LKOWCCJ5ILER5E/action/author_attestation","sign_citation":"https://pith.science/pith/B2YVDVACUJW2LKOWCCJ5ILER5E/action/citation_signature","submit_replication":"https://pith.science/pith/B2YVDVACUJW2LKOWCCJ5ILER5E/action/replication_record"}},"created_at":"2026-05-18T00:06:44.459502+00:00","updated_at":"2026-05-18T00:06:44.459502+00:00"}