• There is a huge demand for implementation of solar PV unit or solar power plant in the rural areas. As the PV modules and their auxiliary components have reliability challenges, faults can and do occur. On the other hand, the repair and maintenance services in remote areas are expensive and time consuming.
• Thus, there is a need for remote monitoring system to forecast and monitor energy production and consumption from distributed PV unit remotely.
• The system consists of transmitter (remote location) and receiver (central station), wherein in case of any failure in communication in these standalone units, it reflects the overall performance of the system.
• Further, the system includes Low Power WAN technology that extends range of cellular communication with additional infrastructure & other deficiencies.
• The drawback of currently available monitoring systems is that they do not provide a means of calculating the expected performance of a PV system, and the present invention provides the solution by addressing above issues.

Instant invention describes an IoT solution by claiming a remote monitoring system for a stand-alone power generation system (AC/DC) and a method thereof.

• The LoRaWAN based remote monitoring system comprises at least one solar PV stand alone system remotely located, a LoRaWAN end node operably coupled to said stand-alone system, includes a microcontroller unit, LoRa transceiver with antenna, a plurality of sensors, a measurement circuit & a battery for measurement circuit; a charge controller, wherein the LoRa WAN end-node is interfaced with respective positive and negative terminals of charge controller; a LoRa WAN gateway, a network server integrated with the LoRa WAN gateway and an application server integrated with the network server provide access and enabling visualization of different operational parameters, wherein the network server is provided with an inbuilt capacity to integrate application server involving database enabling IoT applications.
• The present system provides information of solar energy generation, electric energy consumption, battery performance, and other indicators, etc.