Scraper for Solivia Monitoring

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

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

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

Not for Public use

Ausgreen Solar Solutions Research & Development Team

Solar panel characterization and experiments with Arduino and Python.

Documentation page for the Mobile version of The Beach Lab

Web-based IoT project to monitor power produce from solar panel

Notes about my solar experiments

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

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.

Python library for communicating with Renogy solar charge controllers

Improved modeling of PV solar power for trackers on sloping terrain. Available online: https://doi.org/10.1109/JPHOTOV.2021.3114599

Bifacial PV modeling with SolarFarmer

This QuickApp monitors your SolarEdge managed Solar Panels. The QuickApp has (child) devices for current Power, solar Power, lastday, lastmonth, lastyear and lifetime energy.

solar powered humidity and temperature senor with 433 MHz transmitter

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.

This Python script calculates the estimated time required to charge a 12-volt car battery using a solar panel. It considers the solar panel's power, the battery's capacity, and the system's overall efficiency to provide an estimated charging time.

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