{"url":"/dataset/steel-industry-energy-consumption","name":"Steel Industry Energy Consumption","full_name":"Sathishkumar V E","description_markdown":"Energy consumption data is collected using IoT based systems and used for prediction. Data used include the lagging and leading current reactive power, the lagging and leading current power factor, carbon dioxide emissions, and load types.","description_withheld":null,"homepage":"https://archive.ics.uci.edu/dataset/851/steel+industry+energy+consumption","introduced_date":"2020-08-09","introduced_date_note":null,"introduced_by":{"paper":"/paper/efficient-energy-consumption-prediction-model","title":"Efficient energy consumption prediction model for a data analytic-enabled industry building in a smart city","first_author":"Sathishkumar V E","url":null},"license":{"name":"CC BY 4.0 licence","url":"https://archive.ics.uci.edu/dataset/851/steel+industry+energy+consumption"},"modalities":[],"tasks":[],"languages":[],"variants":["Steel Industry Energy Consumption"],"data_loaders":[],"num_papers_in_archive":1,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}