Ben Horan

TL;DR: In this paper, a comprehensive and systematic review of the direct forecasting of PV power generation is presented, where the importance of the correlation of the input-output data and the preprocessing of model input data are discussed.

TL;DR: In this paper, the authors present a review of the performance and reliability of various methods for maximum power point tracking (MPPT) in PV-based power systems, including their limitations and advantages.

TL;DR: An improved global search space differential evolution algorithm for tracking the GMPP and faster respond against load variation; optimization algorithm can search for theGMPP within a larger operating region as it is implemented by using a single-ended primary-inductor converter; and easy tuning as less parameter has to be set in the algorithm.

TL;DR: In this paper, the effects of dust on solar panel efficiency and the factors governing dust deposition on PV panel are reviewed and summarized, and the authors conclude that dust accumulation of 20 grams/m2 on a PV panel reduces short circuit current, open circuit voltage and efficiency by 15-21, 2-6% and 15-35% respectively.

TL;DR: Experimental results demonstrated that the proposed GASVM model outperforms the conventional SVM model by the difference of about 669.624 W in the RMSE value and 98.7648% of the MAPE error.