This review paper studies the literature on protection technologies for power systems near inverter-based resources (IBRs) toward identifying the maturity levels of emerging solutions. Equipment and protection issues that have been investigated in the context of the integration of IBRs are firstly identified, and then, promising emerging protection solutions are assessed regarding attributes like depth of related research, testing experiences using real-world data, availability/feasibility in real protective/control devices and generalization capability. From the obtained results, candidate solutions that may help solving some protection issues that have taken place in systems near IBRs are identified, and challenges that are still to be overcome are highlighted, indicating potential future research and development trends.

The selection of georeferenced meteorological databases is a critical technical and financial factor in photovoltaic (PV) system sizing. This study evaluates how database choice affects PV generation estimates and economic feasibility by combining bibliometric screening, technical validation, financial indicators, and multicriteria analysis. A bibliometric review of 5,658 documents indexed in Scopus and Web of Science supports the selection of seven databases, which are compared across ten Brazilian locations. PV generation is estimated using both a simplified sizing approach and a higher-temporal-resolution model based on hourly irradiance, ambient temperature, and module thermal coefficients, enabling comparison with measured generation in a three-year case study in João Pessoa. Performance is assessed using MAE, MAPE, RMSE, R2, NPV, payback, and the Analytic Hierarchy Process. NASA POWER shows the strongest overall multicriteria performance, ranking first in seven of the ten locations. Database choice causes variations of up to 4.70 years in payback and BRL 105,709.36 in NPV for the same system, equivalent to USD 21,082.84 at the May 22, 2026 exchange rate. The simplified CRESESB-based method overestimates annual generation by 6.79%–12.64%, whereas NASA POWER reaches a best annual deviation of −1.66% in 2024.

The selection of georeferenced meteorological databases is a critical technical and financial factor in photovoltaic (PV) system sizing. This study evaluates how database choice affects PV generation estimates and economic feasibility by combining bibliometric screening, technical validation, financial indicators, and multicriteria analysis. A bibliometric review of 5658 documents indexed in Scopus and Web of Science supports the selection of seven databases, compared across ten Brazilian locations. PV generation is estimated using both a simplified sizing approach and a higher-temporal-resolution model based on hourly irradiance, ambient temperature, and module thermal coefficients, enabling comparison with measured generation in a three-year case study in João Pessoa. Performance is assessed using MAE, MAPE, RMSE, $R^2$, NPV, payback and the Analytic Hierarchy Process. Under the adopted PV model and AHP weighting structure, NASA POWER shows the strongest overall multicriteria performance in the analyzed Brazilian sample, ranking first in seven locations. Database choice causes variations of up to 4.70 years in payback and BRL 105,709.36 in NPV, equivalent to USD 21,082.84 at the 22 May 2026 exchange rate. The simplified CRESESB-based method overestimates annual generation by 6.79–12.64%, whereas NASA POWER reaches a best annual deviation of $-1.66\%$ in 2024.