{"url":"/dataset/market-oriented-flow-allocation-for-thermal","name":"Thermal Solar Plants Dataset","full_name":"Market-Oriented Flow Allocation for Thermal Solar Plants: An Auction-Based Methodology with Artificial Intelligence","description_markdown":"This dataset includes 120 simulations  of 10 loops of a 50 MW parabolic-trough solar plant with varying solar irradiances, optical efficiencies, thermal losses, ambient temperatures, input temperatures, and sector flow rates. The simulations are based on a static version of the concentrated-parameter model, as described in the corresponding article.","description_withheld":null,"homepage":"https://zenodo.org/records/14645687","introduced_date":null,"introduced_date_note":null,"introduced_by":null,"license":null,"modalities":[],"tasks":[],"languages":[],"variants":["Thermal Solar Plants Dataset"],"data_loaders":[],"num_papers_in_archive":0,"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."}