{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2018:J7EGUJENIREDR7Q3H6NSQYDXDA","short_pith_number":"pith:J7EGUJEN","schema_version":"1.0","canonical_sha256":"4fc86a248d444838fe1b3f9b286077180172f09fd1b215987fa723fa3d8dd07d","source":{"kind":"arxiv","id":"1805.00702","version":1},"attestation_state":"computed","paper":{"title":"Utilizing Device-level Demand Forecasting for Flexibility Markets - Full Version","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CE","authors_text":"Bijay Neupane, Bo Thiesson, Torben Bach Pedersen","submitted_at":"2018-05-02T09:55:57Z","abstract_excerpt":"The uncertainty in the power supply due to fluctuating Renewable Energy Sources (RES) has severe (financial and other) implications for energy market players. In this paper, we present a device-level Demand Response (DR) scheme that captures the atomic (all available) flexibilities in energy demand and provides the largest possible solution space to generate demand/supply schedules that minimize market imbalances. We evaluate the effectiveness and feasibility of widely used forecasting models for device-level flexibility analysis. In a typical device-level flexibility forecast, a market player"},"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":"1805.00702","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CE","submitted_at":"2018-05-02T09:55:57Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"9218a119b89754a3fb7b1fdcce5aff06670e75b4992ce7d7c6b498cb4a54f223","abstract_canon_sha256":"9d7dc077bf8759219021d1c1f207879286b91b4ad77b801d76ed92f0cbcbd9fd"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:16:58.068701Z","signature_b64":"m8qb4M+t+c+u9FcR//yg9kEyT2OzTaiutNobEEQ1MSqdqq0tFJ5j6D4mNNPkrxQ5CnVsc7HWdYTLpR2ECBlECg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4fc86a248d444838fe1b3f9b286077180172f09fd1b215987fa723fa3d8dd07d","last_reissued_at":"2026-05-18T00:16:58.067959Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:16:58.067959Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Utilizing Device-level Demand Forecasting for Flexibility Markets - Full Version","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CE","authors_text":"Bijay Neupane, Bo Thiesson, Torben Bach Pedersen","submitted_at":"2018-05-02T09:55:57Z","abstract_excerpt":"The uncertainty in the power supply due to fluctuating Renewable Energy Sources (RES) has severe (financial and other) implications for energy market players. In this paper, we present a device-level Demand Response (DR) scheme that captures the atomic (all available) flexibilities in energy demand and provides the largest possible solution space to generate demand/supply schedules that minimize market imbalances. We evaluate the effectiveness and feasibility of widely used forecasting models for device-level flexibility analysis. In a typical device-level flexibility forecast, a market player"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1805.00702","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":"1805.00702","created_at":"2026-05-18T00:16:58.068068+00:00"},{"alias_kind":"arxiv_version","alias_value":"1805.00702v1","created_at":"2026-05-18T00:16:58.068068+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1805.00702","created_at":"2026-05-18T00:16:58.068068+00:00"},{"alias_kind":"pith_short_12","alias_value":"J7EGUJENIRED","created_at":"2026-05-18T12:32:31.084164+00:00"},{"alias_kind":"pith_short_16","alias_value":"J7EGUJENIREDR7Q3","created_at":"2026-05-18T12:32:31.084164+00:00"},{"alias_kind":"pith_short_8","alias_value":"J7EGUJEN","created_at":"2026-05-18T12:32:31.084164+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/J7EGUJENIREDR7Q3H6NSQYDXDA","json":"https://pith.science/pith/J7EGUJENIREDR7Q3H6NSQYDXDA.json","graph_json":"https://pith.science/api/pith-number/J7EGUJENIREDR7Q3H6NSQYDXDA/graph.json","events_json":"https://pith.science/api/pith-number/J7EGUJENIREDR7Q3H6NSQYDXDA/events.json","paper":"https://pith.science/paper/J7EGUJEN"},"agent_actions":{"view_html":"https://pith.science/pith/J7EGUJENIREDR7Q3H6NSQYDXDA","download_json":"https://pith.science/pith/J7EGUJENIREDR7Q3H6NSQYDXDA.json","view_paper":"https://pith.science/paper/J7EGUJEN","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1805.00702&json=true","fetch_graph":"https://pith.science/api/pith-number/J7EGUJENIREDR7Q3H6NSQYDXDA/graph.json","fetch_events":"https://pith.science/api/pith-number/J7EGUJENIREDR7Q3H6NSQYDXDA/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/J7EGUJENIREDR7Q3H6NSQYDXDA/action/timestamp_anchor","attest_storage":"https://pith.science/pith/J7EGUJENIREDR7Q3H6NSQYDXDA/action/storage_attestation","attest_author":"https://pith.science/pith/J7EGUJENIREDR7Q3H6NSQYDXDA/action/author_attestation","sign_citation":"https://pith.science/pith/J7EGUJENIREDR7Q3H6NSQYDXDA/action/citation_signature","submit_replication":"https://pith.science/pith/J7EGUJENIREDR7Q3H6NSQYDXDA/action/replication_record"}},"created_at":"2026-05-18T00:16:58.068068+00:00","updated_at":"2026-05-18T00:16:58.068068+00:00"}