pvlib

Townsend snow loss (via pvlib) + precipitation-aware soiling model using monthly climate inputs (manual-clean option); month-by-month results to support EPC yield estimates and O&M cleaning plans.

Data and tools to model PV Systems

A Python Project to model the operation of an off grid Solar Power System in order to define correct sizing information.

PVSC48 computing tutorial with focus on PV computing packages, Python, data wrangling with Pandas, and data viz

A community-maintained implementation of the pvfactors bifacial irradiance model

How-To Solcast - Python, Pandas, MatPlotLib, and PvLib

Benchmark data for pvlib-python

PVSC50 python tutorial with focus on PV computing packages, Python, data wrangling with Pandas, and data viz

*** NOTE: THIS REPO HAS MOVED! *** PVSC48 computing tutorial with focus on PV computing packages, Python, data wrangling with Pandas, and data viz

矿区微电网规划分析平台 / Professional microgrid planning and analysis platform with Streamlit and Plotly

Toolkit package for openalea

Dual axis solar tracking

🌍 Energy Lab is an open-source educational platform offering interactive simulations of various power generation methods. Starting with a Solar Energy Simulator, the platform will expand to include simulations for wind, hydro, bio, coal, and more.

The Solar Explorer is a Python app for designing solar plants which has been made to demonstrate how to build apps in Python.

Solar power production calculator from forecast data.

Multi-Agent AI System for PV Solar Simulation with GUI and Cloud LLM Support

Deployment and a public backend URL will be available soon, as I am currently limited by hosting costs on services such as Railway, Docker, Kubernetes, and AWS

SkyPhysicist: A Physics-Informed AI for Solar Energy Diagnostics

Cadernos de Desenvolvimento de Trabalhos PV baseado em Trabalhos aplicáveis ao Projeto I

Most solar forecasters throw raw ML at the weather. This one doesn't - a clear-sky physics model + plane-of-array transposition set the baseline, and ML learns only the residual. Beats clear-sky and persistence (0.85 / 0.69 skill) on real data. Python, scikit-learn, live Streamlit demo.