Predicting Perovskite Solar Cell Performance: A Machine Learning Approach for Variable Irradiance Conditions

High-accuracy machine learning approach for predicting J-V characteristics of perovskite solar cells…

Revolutionizing Runoff Prediction: How BWDformer Enhances Streamflow Forecasting with Deep Learning and Wavelet Techniques

A deep learning runoff prediction model based on wavelet decomposition and dynamic…

Optimizing MPPT Performance: Fuzzy Logic and Pattern Search in DC-DC Boost Converters for Solar Systems

Fuzzy controller-driven pattern search optimization for a DC-DC boost converter to enhance…

Optimizing PV Systems: A Comparative Study of Machine Learning Algorithms for Accurate Power Output Prediction

In the pursuit of optimizing photovoltaic (PV) systems, we conducted a comprehensive…

Exploring XGBoost for Geospatial Analysis: Insights from COVID-19 Forecasting in Germany and Simulated Data Efficiency

Understanding XGBoost for Geospatial Studies: Insights from Simulated Data and COVID-19 Forecasting…

Revolutionizing Solar Power Generation Forecasting with Deep Learning Techniques: A Groundbreaking Study

Solar Power Generation Forecasting Enhanced by Deep Learning Techniques In a groundbreaking…

Revolutionizing Mine Water Source Identification: The Potentials of TPE-LightGBM Technology in Enhancing Mine Safety and Productivity

Revolutionizing Mine Water Source Identification with TPE-LightGBM Technology Mine water inrush poses…