{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2023:72MRRAL5GK6DUCN5IEDMTHCV2N","short_pith_number":"pith:72MRRAL5","schema_version":"1.0","canonical_sha256":"fe9918817d32bc3a09bd4106c99c55d3503b1da79f34ac8646a3567242cb7324","source":{"kind":"arxiv","id":"2311.04007","version":1},"attestation_state":"computed","paper":{"title":"The Energy Prediction Smart-Meter Dataset: Analysis of Previous Competitions and Beyond","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.LG","authors_text":"Boris Rabinovich, Christian Wagner, Christoph Bergmeir, Dilini Rajapasksha, Direnc Pekaslan, Hansika Hewamalage, Heda Song, Isaac Triguero, Jesus Lago, Jose Maria Alonso-Moral, Juan Bernabe-Moreno, Kasun Bandara, Luis Magdalena, Nils Einecke, Rakshitha Godahewa, Robert Eigenmann, Selvi Ergen, Steffen Limmer, Sven Rebhan, Wenlong Wu","submitted_at":"2023-11-07T14:05:01Z","abstract_excerpt":"This paper presents the real-world smart-meter dataset and offers an analysis of solutions derived from the Energy Prediction Technical Challenges, focusing primarily on two key competitions: the IEEE Computational Intelligence Society (IEEE-CIS) Technical Challenge on Energy Prediction from Smart Meter data in 2020 (named EP) and its follow-up challenge at the IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) in 2021 (named as XEP). These competitions focus on accurate energy consumption forecasting and the importance of interpretability in understanding the underlying factors. The c"},"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":"2311.04007","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2023-11-07T14:05:01Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"dc66db35c71e13cdb1e0eea39bc04b024f93f64578e882fcaddfb2c4d005a48d","abstract_canon_sha256":"cd34f630e5dd2047fc7af686b72efce2abe0da9e033a086205205bafdac5cdc5"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:10:09.632076Z","signature_b64":"vsLHg+zdsAi0FK8oNvfduaf9zZXcmszUBVIsgW1KQis4MeT9NoZFjqViBzX1F3/yqqVKsqXRtw+aCwAs1NkPCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"fe9918817d32bc3a09bd4106c99c55d3503b1da79f34ac8646a3567242cb7324","last_reissued_at":"2026-07-05T07:10:09.631534Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:10:09.631534Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"The Energy Prediction Smart-Meter Dataset: Analysis of Previous Competitions and Beyond","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.LG","authors_text":"Boris Rabinovich, Christian Wagner, Christoph Bergmeir, Dilini Rajapasksha, Direnc Pekaslan, Hansika Hewamalage, Heda Song, Isaac Triguero, Jesus Lago, Jose Maria Alonso-Moral, Juan Bernabe-Moreno, Kasun Bandara, Luis Magdalena, Nils Einecke, Rakshitha Godahewa, Robert Eigenmann, Selvi Ergen, Steffen Limmer, Sven Rebhan, Wenlong Wu","submitted_at":"2023-11-07T14:05:01Z","abstract_excerpt":"This paper presents the real-world smart-meter dataset and offers an analysis of solutions derived from the Energy Prediction Technical Challenges, focusing primarily on two key competitions: the IEEE Computational Intelligence Society (IEEE-CIS) Technical Challenge on Energy Prediction from Smart Meter data in 2020 (named EP) and its follow-up challenge at the IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) in 2021 (named as XEP). These competitions focus on accurate energy consumption forecasting and the importance of interpretability in understanding the underlying factors. The c"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.04007","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/2311.04007/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":"2311.04007","created_at":"2026-07-05T07:10:09.631601+00:00"},{"alias_kind":"arxiv_version","alias_value":"2311.04007v1","created_at":"2026-07-05T07:10:09.631601+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.04007","created_at":"2026-07-05T07:10:09.631601+00:00"},{"alias_kind":"pith_short_12","alias_value":"72MRRAL5GK6D","created_at":"2026-07-05T07:10:09.631601+00:00"},{"alias_kind":"pith_short_16","alias_value":"72MRRAL5GK6DUCN5","created_at":"2026-07-05T07:10:09.631601+00:00"},{"alias_kind":"pith_short_8","alias_value":"72MRRAL5","created_at":"2026-07-05T07:10:09.631601+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/72MRRAL5GK6DUCN5IEDMTHCV2N","json":"https://pith.science/pith/72MRRAL5GK6DUCN5IEDMTHCV2N.json","graph_json":"https://pith.science/api/pith-number/72MRRAL5GK6DUCN5IEDMTHCV2N/graph.json","events_json":"https://pith.science/api/pith-number/72MRRAL5GK6DUCN5IEDMTHCV2N/events.json","paper":"https://pith.science/paper/72MRRAL5"},"agent_actions":{"view_html":"https://pith.science/pith/72MRRAL5GK6DUCN5IEDMTHCV2N","download_json":"https://pith.science/pith/72MRRAL5GK6DUCN5IEDMTHCV2N.json","view_paper":"https://pith.science/paper/72MRRAL5","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2311.04007&json=true","fetch_graph":"https://pith.science/api/pith-number/72MRRAL5GK6DUCN5IEDMTHCV2N/graph.json","fetch_events":"https://pith.science/api/pith-number/72MRRAL5GK6DUCN5IEDMTHCV2N/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/72MRRAL5GK6DUCN5IEDMTHCV2N/action/timestamp_anchor","attest_storage":"https://pith.science/pith/72MRRAL5GK6DUCN5IEDMTHCV2N/action/storage_attestation","attest_author":"https://pith.science/pith/72MRRAL5GK6DUCN5IEDMTHCV2N/action/author_attestation","sign_citation":"https://pith.science/pith/72MRRAL5GK6DUCN5IEDMTHCV2N/action/citation_signature","submit_replication":"https://pith.science/pith/72MRRAL5GK6DUCN5IEDMTHCV2N/action/replication_record"}},"created_at":"2026-07-05T07:10:09.631601+00:00","updated_at":"2026-07-05T07:10:09.631601+00:00"}