Published: 29 June 2023| Version 1 | DOI: 10.17632/75c8p9kkfd.1
Mohammed Mohammed Sadeeq


Distributed Far Distances Energy Consumed System Based on Internet of Things


Steps to reproduce

The main reasoning of generation of this dataset is to provide monitoring and controlling energy management system based on distributed IoT devices. This data article can add value to the related article via providing certainty to the obtained results of the original article. This article will support the statistical analysis for the regression and prediction phases of the obtained results by the original article. Hence, increasing the size (number of records) of the created dataset continuously will provide more reliability to the monitoring and controlling processes of the original article. Also, allows the researchers to enhance and modify the depended models as future steps in this field. The main metrics description of the created dataset which named (DPU-Doski) are illustrated in Table 1. There are fifteen metrics declared the collected data records of the created dataset. Some of these metrics need to be denoted with their (minimum and maximum) acceptable limits. So, acceptable ranges of the (Voltage, Frequency, and Power_factor) are (200-240 V, 48-52 Hz, and 0.5-0.9) respectively. The uploaded records of the dataset are from (13 Feb 2022) to (8 January 2023), there are (3,070,625) records available in it. But, as a policy of the depended DPU-Doski dataset, the recording process of the collected data is automatically and continuously done for the both institutes (Duhok and Shekhan) since (13 Feb 2022) and ongoing. Consequently, the number of collected records for this dataset will be increased sharply with the time. This large dataset provides more reliability to the researchers who want to use this dataset any time he/she wants. The proposed EM system comprises two fundamental constituents, namely Nodes and the Main Control Unit (MCU). Every individual Node represents a campus, and within each campus, there exist three microcontroller devices functioning as sub-nodes. Data: acquired via distributed IoT sensors covered two far distances Institutions. HW: There are three nodes in each institution. So, there are 6 ESP32 microcontrollers, 10 PZEM-004T, 4 SSR, 2 DHT22, 6 ULN2003, 6 Power Supply, 6 TFT Liquid Display. SW: Arduino C language, PHP, MySQL DB. Protocols: HTTP, MQTT. Value of the data • These data are useful because they are obtained in a real-time manner. • Number of records is more than (3,000,000) till now, and will be increase with time as continues growth. • The data are created periodically by a rate of (2 records/Minute) which provides (Hourly, daily, Weekly, Monthly, and Yearly) comparisons. • All standard energy metrics are included such as: Energy, Power, Voltage, Current, Power Factor, Frequency, Date, and Time. • Researchers who making comparisons among the IoT devices for energy management of different campuses can benefit from these data. • These can be used for managing the consumed energy via intelligent algorithms. • Finally, this dataset can reused for providing the predicted minimum consumed energy.


Duhok Polytechnic University


Energy Management, Distributed Database Management System, Energy Consumption, Building Energy Analysis, Electricity Saving, IoT Sensor, Residential Energy Efficiency, IoT Application