An improved approach to enhance training performance of ANN and the prediction of PV power for any time-span without the presence of real-time weather data

• Main Authors: Bhatti, Abdul Rauf, Awan, Ahmed Bilal, Alharbi, Walied, Salam, Zainal, Humayd, Abdullah S., R. P., Praveen, Bhattacharya, Kankar
• Format: Article
• Language: English
• Published: MDPI 2021
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://eprints.utm.my/id/eprint/95663/1/ZainalSalam2021_AnImprovedApproachtoEnhanceTraining.pdf; http://eprints.utm.my/id/eprint/95663/; http://dx.doi.org/10.3390/su132111893

In this work, an improved approach to enhance the training performance of an Artificial Neural Network (ANN) for prediction of the output of renewable energy systems is proposed. Using the proposed approach, a significant reduction of the Mean Squared Error (MSE) in training performance is achieved,...