Data Supplement for the IGSC 2019 paper ``A benchmark suite for control algorithms of retractable wind-energy harvesters''

mosse, daniel and gadola, guy (2019) Data Supplement for the IGSC 2019 paper ``A benchmark suite for control algorithms of retractable wind-energy harvesters''. [Dataset] (Unpublished)

	Archive (ZIP) (training and testing windspeed for all 30 stations) Available under License Open Data Commons Attribution License (ODC-By). Download (1GB)
	Archive (ZIP) (HOEP(Hourly Ontario Energy Price)_2004-2014(CADperKWH)) Available under License Creative Commons Attribution No Derivatives. Download (479kB)
	Archive (ZIP) (fuzzy_set_membership_functions_for_all_30_stations) Available under License Open Data Commons Attribution License (ODC-By). Download (27kB)
	CSV (Sunset times for St. Louis, MO) Data Available under License Open Data Commons Attribution License (ODC-By). Download (68kB)
	CSV (Noise-Allowed-Time Definitions for All 30 Stations) Data Available under License Open Data Commons Attribution License (ODC-By). Download (2kB)
	Microsoft Excel (Survey results of preferences on retractable wind-energy harvesters) Available under License Open Data Commons Attribution License (ODC-By). Download (79kB)

Abstract

The following files comprise the Data Supplement to which the IGSC 2019* paper ``A benchmark suite for control algorithms of retractable wind-energy harvesters'' refers:
1) Thirty training and testing files, each with approximately nine and two years, respectively, of minute-by-minute windspeeds and simulated predicted day-ahead windspeeds;
2) An eleven-year hourly electricity price
file;
3) A fuzzy-set-membership-function file describing membership in the set NOT WINDY AT <STATION> for each of
the 30 weather stations;
4) A file containing sunset times for the city of St. Louis, Missouri, for all days in the years 2004-2014, inclusive, which are used in the definition of quiet hours for St. Louis;
5) A file delineating when noise is allowed for municipalities corresponding to the 30 weather stations; and
6) A document describing how the windspeed data was derived.
7) A spreadsheet containing survey results of preferences toward retractable wind-energy harvesters.
*The Tenth International Green and Sustainable Computing Conference

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Details

Item Type:	Dataset
Status:	Unpublished
Creators/Authors:	Creators Email Pitt Username ORCID mosse, daniel mosse@cs.pitt.edu gadola, guy gpg4@pitt.edu
Date:	7 October 2019
Schools and Programs:	Dietrich School of Arts and Sciences > Computer Engineering
Type of Data:	Text
Copyright Holders:	Public Domain (https://ngdc.noaa.gov/ngdcinfo/privacy.html), Independent Electricity System Operator
Date Deposited:	09 Oct 2019 13:22
Last Modified:	22 Oct 2019 05:15
URI:	http://d-scholarship.pitt.edu/id/eprint/37697

Available Versions of this Item

• Data Supplement for the IGSC 2019 paper ``A benchmark suite for control algorithms of retractable wind-energy harvesters''. (deposited 30 Sep 2019 12:27)
  • Data Supplement for the IGSC 2019 paper ``A benchmark suite for control algorithms of retractable wind-energy harvesters''. (deposited 09 Oct 2019 13:22) [Currently Displayed]

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