Methods, systems, and computer program products are provided herein in connection with IoT-enabled solar PV health monitoring and advising related thereto. A computer-implemented method includes obtaining current-voltage samples corresponding to solar photovoltaic modules by triggering switch circuitry between (i) an inverter attributed to the solar photovoltaic modules and (ii) a current-voltage tracer; detecting one or more anomalies in the obtained current-voltage samples by applying machine learning techniques to the obtained current-voltage samples; automatically performing a root cause analysis on the detected anomalies by (i) converting the obtained current-voltage samples to sequential data, (ii) applying a sequence classifier to the sequential data, and (iii) identifying a pre-determined anomaly class comparable to the sequential data based on the application of the sequence classifier; and automatically generating and outputting a suggestion for remedial action based on the identified pre-determined anomaly class.