Bruno Mota
Luis Gomes
Pedro Faria
Carlos Ramos
Zita Vale
2020-11-05
<p>Using the previous dataset at <<a href="https://zenodo.org/record/4106746">https://zenodo.org/record/4106746</a>> it was simulated an announcement of a demand response program at period 757, describing a demand response event from period 937 (Friday at 21:00h) to 960 (Friday at 23:00h) , where each period represents five minutes. The demand response program imposed a limit consumption, during its event, of 2.5 kWh. The announcement of the demand response allowed the use of the proposed solution to limit the energy consumption. For that, the algorithm described in section 3.3 was executed at period 769 (Friday at 7:00h).</p>
<p>The API can be found at <<a href="http://www.gecad.isep.ipp.pt/api/spear/%3E">http://www.gecad.isep.ipp.pt/api/spear/</a>></p>
<p>File Description:</p>
<ul>
<li>Input_JSON_Demand_Response_Optimization - JSON input data for the demand response participation</li>
<li>Output_JSON_Demand_Response_Optimization - JSON output data for the demand response participation</li>
<li>Output_Statistics_Demand_Response_Optimization - Excel output demand response participation statistics</li>
<li>Comparison_Output_Statistics_Demand_Response - Excel output statistics comparing the before and after the demand response participation</li>
</ul>
The present work has received funding from National Funds through FCT under the project UIDB/00760/2020
https://doi.org/10.5281/zenodo.4247232
oai:zenodo.org:4247232
Zenodo
https://doi.org/10.5281/zenodo.4247231
info:eu-repo/semantics/openAccess
MIT License
https://opensource.org/licenses/MIT
demand response
genetic algorithm
task scheduling
production line flexibility
demand-side management
Production line dataset for task scheduling and energy optimization - Demand Response Participation
info:eu-repo/semantics/other