IoT features for solar energy systems

The electric usage of households is expanding rapidly as most home appliances are electricity-demanding. To meet these surging needs, there's an increased need to switch to sustainable resources, such as solar energy. In order to manage these complex systems, IoT systems are crucial.
Internet of Things (IoT) covers almost every aspect of our lives, from managing smart homes to handling smart city infrastructures. IoT made its mark in the solar industry as innovative resource procurements require advanced technologies. Photovoltaic (PV) systems are more prominent for higher availability, lower costs, and quick installation.

IoT-based solar panel tracking is designed for online simulation and performance enhancement. It enables preventative maintenance and to map out local breakdowns. IoT-powered PV systems ensure valuable insights to make data-driven decisions.

• Measure the radiance of the sun
• Measure the cell temperature
• Measure the string voltage
• Track inverter performance
• Visualize actual vs. modelled energy production
• Tracking the system's output
• Measure battery voltage levels to determine battery health

Grape Solutions' platform for solar module systems enables forecasting and measurement of solar power plants operating with the help of a new algorithm that gives an even more accurate estimate with intraday correction, allowing the production units to submit the most accurate schedules possible. Sufficiently accurate forecasting of solar production is possible through complex analysis. It requires high-quality input information and sophisticated calculation algorithms, complemented by continuous refinement of the forecasting based on conclusions by regular examination of the data generated during the operation.



The platform aims to allow solar park owners to create more accurate forecasts and schedules using a unique algorithm in an easy-to-use, transparent interface.

Features of the platform:

• Data Administration: Interface for entering master data and input data.
• Forecasting: Starting an individual or a mass forecast manually, create group forecasts and annual forecasts.
• Scheduling: Generate, manage (upload) an individual or group schedule and view massages from schedule admin)
• Reporting: Forecasting graphs, annual forecasts, production deviation, and activity list reports are already available.
• Profile: User management interface, users assigned to the profile with admin rights can be edited, added, deactivated profile data.
• Log messages: Display log messages that can be filtered by function and date for activity tracking.
• Operator functions: The system operator can manage the profile data and act on behalf of the profiles in connection with any of the above functions.