uGIM: week monitorization data of a microgrid with five agents (10/04/19-16/04/19)

<p>uGIM is a microgrid intelligent management software that can represent individual microgrid&rsquo;s players using a multi-agent approach. This dataset has data regarding a week (from 10-04-2019 to 16-04-2019) of a microgrid with five players (all offices). All agents have consumption and generation data. One of the agents also has sensor data, such as temperature, movement and humidity.</p> <p>In uGIM, agents are deployed in the player&rsquo;s facilities using single-board computers. All the data in this dataset is read and stored in five single-board computers. Each agent integrates several resources. In this microgrid deployment, all resources use TCP/IP communication. However, uGIM supports more protocols, such as Modbus/RTU and Modbus/TCP.</p> <p>uGIM related publications:<br>&nbsp;- Gomes, L., Vale, Z., &amp; Corchado, J. M. (2020). Microgrid management system based on a multi-agent approach: An office building pilot. Measurement: Journal of the International Measurement Confederation, 154. <a href="http://doi.org/10.1016/j.measurement.2019.107427">https://doi.org/10.1016/j.measurement.2019.107427</a><br>&nbsp;- Gomes, L., Vale, Z. A., &amp; Corchado, J. M. (2020). Multi-Agent Microgrid Management System for Single-Board Computers: A Case Study on Peer-to-Peer Energy Trading. IEEE Access, 8, 64169&ndash;64183. <a href="http://doi.org/10.1109/ACCESS.2020.2985254">https://doi.org/10.1109/ACCESS.2020.2985254</a><br>&nbsp;- Gomes, L. (2020). &mu;GIM - Microgrid intelligen management system based on a multi-agent approach and the active participation of end-users [Universidad de Salamanca]. <a href="http://doi.org/10.14201/gredos.144238">https://doi.org/10.14201/gredos.144238</a><br>&nbsp;- Gomes, L., Sp&iacute;nola, J., Vale, Z., &amp; Corchado, J. M. (2019). Agent-based architecture for demand side management using real-time resources&rsquo; priorities and a deterministic optimization algorithm. Journal of Cleaner Production, 241, 118154. <a href="http://doi.org/10.1016/j.jclepro.2019.118154">https://doi.org/10.1016/j.jclepro.2019.118154</a></p> <p>&nbsp;</p> <p><em>(if you used this dataset in your publications, please send us your information so we can add your publication to the list above)</em></p> <p>&nbsp;</p> <p>We would be grateful if you could acknowledge the use of this dataset in your publications. Please use the Zenodo publication to cite this work.</p>