Experiment results show that when the synthetic malware sample generated by EDA was added to the training data, the accuracy of LSTM RNN classifier improved by 1.76% as compared to the 0.98% ...

Short-Term power Load Forecasting Model Based on Fuzzy Neural Network using Improved Decision Tree is proposed. High accuracy power load forecasting for a specific area, specific date and specific ...

According to Eskom, during the most intense periods of load shedding in 2023, outage slips contributed to losses ranging from 2 700 MW to 3 500 MW. That figure had been reduced to below 1 000 MW ...