Optimizing Solar Power Integration in Grids: Balancing Voltage and Stability

As solar energy becomes more widespread, finding the balance in distribution systems is crucial. While photovoltaic (PV) systems can boost energy efficiency, too much can cause voltage issues and instability. This research explores smart strategies like Network Reconfiguration and Volt-VAR Control to optimize PV integration without needing costly upgrades. Using advanced algorithms, it demonstrates how to enhance grid capacity and minimize power losses. The study offers a roadmap for smarter, more stable energy distribution in our increasingly solar-powered world.

Read the full article in Latam Transactions, September Issue (2024).

 

Predictive Performance of Machine Learning Algorithms Regarding Obesity Levels Based on Physical Activity and Nutritional Habits

Did you know that Machine Learning can help fight obesity? A recent study applies AI to identify behaviors linked to obesity, using powerful tools like decision trees and deep neural networks. The research compares algorithms, highlighting J48, Naive Bayes, and Multilayer Perceptron, with BPTT achieving the best performance for predicting obesity and diabetes risk. This can help improve diagnosis and prevention strategies based on physical activity and diet.

Read the full article in Latam Transactions, September Issue (2024).

 

Impact of the Preprocessing Stage on the Performance of Offline Automatic Vehicle Counting using YOLO

 

Tracking urban traffic with YOLOv5 & SORT! Cutting image area by 30% = better accuracy!

Read the full article in Latam Transactions, September Issue (2024).

 

 

 

Methodology Using Idle Capacity of Hydroelectric Substations for Sizing Floating Photovoltaic Plants

 

Floating PV systems are here to boost power efficiency! The study suggests using hydro plant sites to maximize solar energy.

Read the full article in Latam Transactions, September Issue (2024).