Power and Energy
Accurate short-term load forecasting (STLF) plays an increasingly important role in reliable and economical power system operations. This dataset contains The University of Texas at Dallas (UTD) campus load data with 13 buildings, together with 20 weather and calendar features. The dataset spans from 01/01/2014 to 12/31/2015 with an hourly resolution. The dataset is beneficial to various research such as STLF.
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The New York City Energy and Water Performance Map maps benchmarking data across the city, allowing viewers to see data by individual buildings, building type, building size, and year built.
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This is the datasheet for an examined 30-unit test system including 14 DG (indexed from 1 to 14), 4 RG (indexed from 15 to 18), 4 FD (indexed from 19 to 22), 4 ID (indexed from 23 to 26), and 4 ES units (indexed from 27 to 30).
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These data are collected from a 12-bus and a 32-bus DC microgrid. The total operating cost of these two microgrids are optimized by an adaptive Differential Evolution algorithm using real-time pricing.
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This software application is a complement for the paper entitled "A Single-Phase Transformer-Based Cascaded Asymmetric Multilevel Inverter with Balanced Power Distribution".
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The insulation of the power transmission systems experience stresses due to overvoltages and hence the insulation design of Extra High Voltage and Ultra High Voltage systems depend on the switching overvoltages rather than lightning overvoltages. Insulation failure probability under switching overvoltages is the main impressive concern in the estimation of switching surge flashover rate. .
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This dataset refers to the case study performed in the paper "A Real Options Market-Based Approach to Increase Penetration of Renewables", submitted to IEEE Transactions on Smart Grid. The file contains the Midcontinent ISO data used for the day-ahead prices, as well as the wind data from NREL's Wind Integration National Dataset Toolkit which was used to estimate the renewable productions in the case study.
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The ZIP file Data_Models_Programs includes two folders:
1. WindSpeedData folder incluses the wind speed data of 10 min interval measured from two acutal wind farms and the programs for establishing a wind speed combination model (WSCM).
2. WindFarmModels folder includes 4 data files (in the Matfile subfolder), 6 detailed or aggregated models of a actual wind farm, and 16 program files for establishing the aggregated model of the wind farm via three methods.
All the files were created in Matlab 2016b.
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