Popular GitHub Repositories for Solar Irradiance

Predict the Power Production of a solar panel farm from Weather Measurements using Machine Learning

The Super-Resolution for Renewable Resource Data (sup3r) software uses generative adversarial networks to create synthetic high-resolution wind and solar spatiotemporal data from coarse low-resolution inputs.

CNN models for Solar Panel Detection and Segmentation in Aerial Images.

Deep Neural Network architecture as a predictive optimal controller for {HVAC+Solar cell + battery} disturbance afflicted system vs classic Model Predictive Control

Prediction of Solar Power Generated by a power plant using artificial neural networks

This is the implementation of the paper Enhanced Photovoltaic Power Forecasting: An iTransformer and LSTM-Based Model Integrating Temporal and Covariate Interactions

PyTorch Code for running various time series models for different time stamps and confidence intervals for Solar Irradiance prediction.

Eris is a private AI chat application that runs entirely on your device using Apple's MLX framework. Named after the dwarf planet that challenged our understanding of the solar system, Eris challenges the notion that AI must live in the cloud.

Forecasting Solar Power: Analysis of using a LSTM Neural Network

Multi-time-horizon solar forecasting using recurrent neural network

This is the implementation of the paper Enhanced Photovoltaic Power Forecasting: An iTransformer and LSTM-Based Model Integrating Temporal and Covariate Interactions

Using an integrated pinball-loss objective function in various recurrent based deep learning architectures made with keras to simultaneously produce probabilistic forecasts for UK wind, solar, demand and price forecasts.

In these notebooks the entire research and implementation process carried out for the construction of various machine learning models based on neural networks that are capable of predicting levels of solar radiation is captured given a set of historical data taken by meteorological stations.

Solar Irradiance Forecasting with Transformer model

Automated pipeline for large scale detection of solar arrays in France

Utilizing an Artificial Neural Network (ANN) based on Hyperparameter tuning, a new solution for Solar Radiation is approached.

Implementation of bagging-based ensemble for solar irradiance prediction. Base learners used in ensemble learning is stacked-LSTM

ESP32-S3 based display for Victron SmartSolar, with BLE decryption, Wi-Fi captive portal, and mobile-friendly web configuration.

A quick and optimized solution to manage llama based gguf quantized models, download gguf files, retreive messege formatting, add more models from hf repos and more. It's super easy to use and comes prepacked with best preconfigured open source models: dolphin phi-2 2.7b, mistral 7b v0.2, mixtral 8x7b v0.1, solar 10.7b and zephyr 3b

A project focused on forecasting solar photovoltaic (PV) power generation using regional microclimate data. Implements machine learning models like CatBoost, LightGBM, and XGBoost for predictions, leveraging environmental features like temperature, humidity, wind speed, and solar radiation.