Proton Exchange Membrane Fuel Cells (PEMFC) combined with renewable energy offer high efficiency and environmental benefits. Controlling PEMFC output power is crucial to avoid performance degradation due to excessively low cell voltage. A study investigates clamping control methods such as optimal loading rate and minimum cell voltage (MCV) prediction. An objective evaluation method (OEM) using EW-TOPSIS analyzes loading rates, while a LSSVM predicts MCV to maintain cell voltage within set boundaries. Results demonstrate the effectiveness of optimal loading methods in preventing low voltage. EW-TOPSIS objectively compares loading rates, and LSSVM shows strong prediction accuracy for cell voltage. The research provides valuable insights for preventing voltage issues and predicting cell voltage in advance. Fuel cells utilize hydrogen to convert chemical energy into electrical energy, produced through electrolyzing water from sources like solar and wind energy. PEMFC, known for high efficiency and low emissions, faces challenges in reliability, especially with rapid load changes. Studies focus on dynamic response optimization to mitigate degradation issues. Various loading strategies are explored to prevent voltage undershooting and enhance stack efficiency and performance. Research emphasizes the importance of controlling loading rates to avoid gas starvation and voltage fluctuations. The article highlights the significance of dynamic uniformity in single cell voltage and system responsiveness to different loading patterns. Overall, the research aims to improve the reliability and performance of PEMFCs, making them more suitable for widespread applications including automotive and industrial sectors.