Performance Improvement of Photovoltaic Panels in Solar Systems using Artificial Intelligence Techniques

In the contemporary landscape, the significance of renewable energy is progressively escalating, and artificial intelligence (AI) is poised to play a crucial role in its swift advancement.There exists a challenge associated with the diverse routine components employed to ensure the accuracy of speech recognition.Hidden Markov Models (HMMs) have been utilized to enhance and evaluate inputs, serving as a mechanism for validating the precision of speech inputs while also facilitating further development.This study examines the performance of speech signal inputs across various platforms utilizing the HMM process.However, many speech signals exhibit ambiguity, which can disrupt the continuity of uninterrupted segments.To address this irregularity, numerous researchers have previously proposed various techniques; this paper specifically evaluates the performance across different platforms using HMM technology to enhance the consistency of speech signals.