This document provides the data for the case study of the work “Enhanced Representative Time Periods for Transmission Expansion Planning Problems”.

Instructions: 

The data for the case study can be consulted in the attached pdf file.

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These data can describe the operatioal process of ultra-supercritical once-through boiler-turbine units in a wide load range. The data can be used for establishing a dynamic mathematical model or data-driven model, as well as reproducing the paper, entitled " A dynamic nonlinear model for a wide-load range operation of ultra-supercritical once-through boiler-turbine units" in Energy journal. 

Instructions: 

There are three kinds of data with different trends in Excel format, and you can use matlab to read the data.

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This paper contains two animations and a figure in the supplementary material for submission "Robust Tuning of Active Disturbance Rejection Controller for Time-delay Systems with Application to A Factual Electrostatic Precipitator".

Instructions: 

This paper contains two animations and a figure in the supplementary material for submission "Robust Tuning of Active Disturbance Rejection Controller for Time-delay Systemsl with Application to A Factual Electrostatic Precipitator".

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The early detection of damaged (partially broken) outdoor insulators in primary distribution systems is of paramount importance for continuous electricity supply and public safety. In this dataset, we present different images and videos for computer vision-based research. The dataset comprises images and videos taken from different sources such as a Drone, a DSLR camera, and a mobile phone camera.

Instructions: 

Please find the attached file for complete description

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The dataset presents the output power estimations for the months with high expectancy of snowfalls.

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The dataset is generated by performing different MiTM attacks in the synthetic electric grid in RESLab testbed at Texas A&M University, US. The testbed primarily consists of a dynamic power system simulator (Powerworld Dynamic Studio), network emulator (CORE), Snort IDS, open DNP3 master and Elasticsearch's Packetbeat index. There are raw and processed files that can be used by security enthusiasts to develop new features and also to train IDS using our feature space respectively.

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The dataset is part of the MIMIC database and specifically utilise the data corresponding to two patients with ids 221 and 230.

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This dataset contains the corresponding data of a certain LNG terminal. 

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In order to see and interact with the case of study open the case_of_study.html file with an internet browser, it should work in all browser but we tested in Google Chrome, Firefox and Safari.

 

Once the file is open, we will see something like the attached figure. In the next steps, the different variables available and the way of interacting with then will be described.

 

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