This paper investigates the performance of the photovoltaics based on the filtering techniques, performance monitoring metrics, and numerical methodologies at real outdoor conditions. The experimental study is carried out on a set of nine photovoltaics modules consisting three modules of each technology i.e. Multi-crystalline (mc-si), Heterojunction with Intrinsic Thin layer (HIT) and Amorphous Silicon (a-si). Various electrical performance data has been collected and characterized for a period of three years in the composite climate of India. The research methodology includes mapping of series resistance, estimation of monthly average effective peak Power (P-eff), Performance Ratio (PR) and temperature corrected Performance Ratio (PRT_CORR) has been carried out. The average percentage reduction in the effective peak power (Delta P-eff) for the mc-si, a-si and HIT modules were 15.8%, 17.2%, and 7.1% respectively over a period of three years. The monthly average PR for mc-si, a-si and HIT modules were 0.70, 0.82 and 0.83 respectively for the same period. The PRT_CORR over three-year duration for me-si is 0.77, for a-si is 0.89, and 0.90 for a HIT modules respectively. The annual degradation is 1.5%, 1.6% and 0.39% for mc-si, a-si and HIT modules respectively. The increment in the series resistance has been calculated estimated using the procedure I of the IEC 60,891 Edi 2.0 and the mapping of the series resistance has been done with the matrix of in-plane irradiance and module temperature. Further, the uncertainty calculations of series resistance have been estimated for three different irradiation ranges i.e. 1000 W/m(2), 900 W/m(2) and 800 W/m(2) which is around 4% to ensure the sanctity of measurements and calculations. It has been observed that module degrades faster in hot climatic zones. The interpretation of measured and calculated results, correlation of bus-bar corrosion, and module degradation have been delineated for the composite climate. Finally, it also discusses the usage of the above-proposed methods/tools for optimization of solar cell design parameters at different climatic conditions.