Electric Utility

The dataset reflects a single household (home) power profile related to the grid. Households include typical appliances, two air-to-air heat pumps, a 3-phase 18 kW through-flow water heater, 6 kW solar panels and a 2,5 kW charger for the electric car.

For five-month (April_August) in 2022, every 0.2 sec took each 3-phase voltage and current measurement, calculate power and harmonics (up to 15th) for power profile registration.

Positive value reflects energy flow from the grid to a household, and negative values are energy flow to the grid.


The Electric Power Research Institute (EPRI) is building a community to advance utility infrastructure inspection. To jumpstart collaboration EPRI is sharing labeled datasets. These data may support immediate and future research. Advances in automated inspection workflows can benefit society. Future tools may revolutionize traditional workflows and have safety, quality, and efficiency benefits to utilities and consumers. More situational awareness of eclectic utility infrastructure can reduce the likelihood of in-service equipment failures.

Last Updated On: 
Wed, 07/20/2022 - 18:03
Citation Author(s): 
Dexter Lewis, Pratik Kulkarni

The dataset includes the measured impedance data of HVDC converters and DC cables in the paper "Stability and Sensitivity Analysis of Multi-Vendor, Multi-Terminal HVDC Systems", which is coauthored by Yicheng Liao, Heng Wu, Xiongfei Wang, Mario Ndreko, Robert Dimitrovski and Wilhelm Winter, and published by IEEE Open Journal of Power Electronics. The research is funded by TenneT TSO GmbH and collaborated with Aalborg University.


This handbook and dataset provides a large set of ferromagnetic saturation curves with Hysteresis based on JA model and nonlinear reluctance of Matlab/Simulink/Simscape.
The saturation curves are available for different materials, but for simulations, the JA parameters are also needed which are not available to the public. Therefore, this handbook will help researchers to find the best fit between their specimen and curves provided in this handbook to find the approximate JA parametes to use, or start fiding accurate JA using them as the initial values.


The dataset is generated by performing different Man-in-the-Middle (MiTM) attacks in the synthetic cyber-physical electric grid in RESLab Testbed at Texas AM University, US. The testbed consists of a real-time power system simulator (Powerworld Dynamic Studio), network emulator (CORE), Snort IDS, open DNP3 master, SEL real-time automation controller (RTAC), and Cisco Layer-3 switch. With different scenarios of MiTM attack, we implement a logic-based defense mechanism in RTAC and save the traffic data and related cyber alert data under the attack.


Port scanning attack is popular method to map a remote network or identify operating systems and applications. It allows the attackers to discover and exploit the vulnerabilities in the network.


Two electric vehicles were used in this study, namely the Renault Zoe Q210 2016 and the Renault Kangoo ZE 2018. The EVs were equipped with data loggers connected to the CAN bus recording data on the HV battery current, voltage, SoC, and instantaneous speeds. We also used a GPS logger mobile application to record GPS tracks and altitudes. Data were collected from six drivers (four men and two women) with varying levels of driving experience (from less than two months to more than 10 years) on a variety of roads and driving conditions for nearly 200 kilometers


This dataset will contains some simulation models in Matlab/Simulink of four most used active anti-islanding methods namely Active Frequency Drift (AFD), Sandia Frequency Shift (SFS), Slip Mode frequency Shift (SMS), Sandia Voltage Shift (SVS).


We present photographs of inspections of the electrical power network (13.8 kV) carried out in southern Brazil. The inspections were performed close to the city of Blumenau by researchers from the high voltage laboratory, Regional University of Blumenau (FURB).

240 photographs of the electrical power network are presented:
120 are of damaged structures and/or components.
120 are in normal conditions.


This dataset is used to design patent.  The system is basic , as can be seen from figure.

There is related dataset- Data: 255W Panel Connected 72Ah Li-Ion.

This new datasets are needed to show that I know how to make simulation and the dataset of 'Data: 255W Panel Connected 72Ah Li-Ion' is not fake. 

The boost converter, BMS is on existing designs.It is very simple for any graduate,degree holder or school students, so no paper is written for it.