A catalog of open source tools for solar energy.

Python library for communicating with Renogy solar charge controllers

Create a sustainable, solar-powered smart garden using Raspberry Pi! Monitor and control your garden remotely, manage irrigation based on soil moisture, and embrace eco-friendly automation. This project combines solar energy harvesting, sensor data analytics, and Raspberry Pi programming for a smart, green thumb experience.

A raspend based application for reading out current values of my PV units inverters via Modbus-TCP and serve them via HTTP as JSON.

A project on reading the voltage and current form solar panel using the STM32 microcontroller. Also includes additional sensors like Temperature and Light.

Data portal for NREL's Renewable Energy Potential Model.

Solar panel characterization and experiments with Arduino and Python.

Community engagement statistics for open-source PV projects

ESP8266 NodeMCU Based Solar Powered WiFi Weather Station - Record Temperature (x2), Humidity, Pressure, Rain, and Voltage

A simple weather station that periodically wakes and sends data to a Thingsboard server

Scraper for Solivia Monitoring

Beehive online monitoring based on the ESP32, SIM800L and others sensors.

This is a prototype of a landing page for a solar power installation service website.

Notes about my solar experiments

The IoT EcoBoard v3 is microcontroler based on the processor ATSAMD21G18 ARM Cortex M0 at 48Mhz with 3V3 logic, as the Arduino Zero. The chip has 256K of FLASH and 32K of RAM. It's fully compatible with Arduino and Adafruit libraries.

Developed an ensemble voting model that included Random Forests, Linear Regression, Orthogonal Matching Pursuit, and Gradient Boosting Regressor to predict future solar power generated by a solar plant in India at 98.7% accuracy. Placed 1st at the Virginia Tech Computational Modeling & Data Analytics Fall 2022 Data Competition.

Bifacial PV modeling with SolarFarmer

A dashboard application helping Canadian homeowners in solar panel purchasing decisions.

Ausgreen Solar Solutions Research & Development Team

Documentation page for the Mobile version of The Beach Lab