Exploring Time -Series Machine Learning for Voltage Prediction in Air Conditioning Systems
This paper presents a comprehensive evaluation of machine learning algorithms for voltage timeseries prediction in power systems. We compare six models: Linear Regression, Random Forest, XGBoost, Support Vector Regression (SVR), k-Nearest Neighbors (KNN), and Long Short-Term Memory (LSTM) networks using multiple metric...