IEEE

Revealing the Effects of Data Heterogeneity in Federated Learning Regression Models for Short-Term Solar Power Forecasting

Abstract: Accurate short-term power forecasting is crucial for the successful commercialization of solar energy, helping to prevent financial losses in energy markets. Federated learning (FL) offers a ...
IEEE

Prediction of Battery Internal Resistance Dynamics Over Lifespan Using Early-Cycle Data and Random Forest-Optimized Exponential Regression

Abstract: Accurate estimation of internal resistance (IR) in lithium-ion batteries is essential for health monitoring and end-of-life (EOL) prediction. This paper presents a hybrid method that ...