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Multi-Fault Diagnosis in Solar Panels using Hybrid Feature Fusion Approach
The use of photovoltaic (PV) systems is growing as a green energy source; but their output is highly dependent on environmental and operational faults including soiling and shading conditions. However, despite the successful application of previous deep learning approaches for single-fault detection, multi-faults (e.g....
An Artificial Intelligence and Machine Learning Framework for Predictive Decision Analytics in Business and Industrial Operations
The results prove that ensemble machine learning is a credible and explainable approach to electricity price prediction, which can be utilized for procurement planning, budgeting, production scheduling, and decision-making for business and industry.