The client needed one tool to monitor and manage a growing set of connected devices. He ran energy asset monitoring through separate tools. Each device reported data differently, and checking them by hand took too much time and often led to mistakes.
We delivered Solar Harmony – a renewable energy management software that covers live data, device management, notifications, and historical analytics by day, week, or month, with visual graphs to see changes.
Projects like this share a few recurring challenges, and this one was no exception.
We started the project with UI/UX design and a dashboard that shows the latest sensor values, active devices, and graphs of change. The views are specific to each device type:
The history view lets users check data by day, week, or month, compare trends, and find the moment a problem started. When a device stops reporting, it shows as inactive, and its status turns red if the connection is lost, so the state is visible at a glance.
A Devices section handles adding, managing, and checking devices, and a notification system sends alerts when a device has a fault or an unusual reading.
For web development of the software for renewable energy, we selected a tech stack based on React for a fast UI and Python for backend logic and data processing. We used AWS IoT Core to connect and manage smart devices in real time and get data from solar panels, batteries, and sensors. MongoDB is the main database for time-series data and storing historical device metrics. We deployed our renewable energy platform on AWS for scalability and stability. With this technology stack, we can process continuous data streams, update dashboards without page reloads, and manage big volumes of sensor data with low latency.
This case study highlights our expertise in custom software development for the energy industry and our practical knowledge of implementing IoT solutions in systems such as a renewable energy software platform.
With our renewable energy management platform, the client now monitors all panels, batteries, and sensors from one dashboard and gets an alert when a device shows a fault or an unusual change. At launch, the client manages a set of more than 200 devices. The time spent checking the condition of the devices has been reduced to just a few minutes.
AWS
MongoDB
Python 
React
