Internship on Minimization of Climatic Impact on Water and Water Based Renewable Energy Systems by Cognitive and Hierarchical Techniques
Description about the Internship
This short-term course on Hydroinformatics is about an internship program proposed for 2025, aimed at minimizing the climatic impact on water and water-based renewable energy systems. The internship will last two months and can be completed online or offline. The goal is to find the best possible mitigation alternatives for the minimization of climate change's impact on these systems.
The first objective is to determine if these systems are truly impacted by climate change. If so, how can they be mitigated? Artificial intelligence-based models like group method of data handling will be employed to predict the climate change impact on the output of these systems. The second objective is to propose multiple alternatives and collect multiple mitigative alternatives.
The internship will involve consulting literature on the topic and identifying the best alternative among them. The team will use MCDM techniques, such as the nature-inspired optimization technique, which is rare but not common in water resource management or renewable energy systems. These techniques include invasive weed optimization technique, cat swarm optimization technique, and glow warm optimization technique.
If you are interested in participating in this internship, please comment on this post or follow the instructions I gave in the audio.