SIREP OASIS NEXUS TECH DZ – Smart Oasis Energy & Water Management Systems in Algeria

Documentation repository for renewable energy research resources.

Energy Transition Intelligence MCP Server

Energy Transition Resilience MCP Server

Home assistant integration for the Sungrow API

A collection of various resources, examples, and executables for the general NLR HPC user community's benefit. Use the following website for accessing documentation.

Renewable Electricity Variability, Upscaling and Balancing

Encourage sustainability in Minecraft! A Minecraft server plugin (bukkit/spigot/paper) that detects when unrenewable items are destroyed or irreversibly changed! Can be configured to prevent this, save the unrenewable items, and/or deal with the players involved. Plus much more (just check out the config file)!

Hệ thống quản lý và chia sẻ năng lượng tái tạo dựa trên công nghệ blockchain, cho phép người dùng mua bán năng lượng mặt trời giữa các hộ gia đình và doanh nghiệp.

This work proposes a mixed integer linear program designed to optimize the size and operation of the components of a hydrogen generation site for minimal cost.

This model aims to replicate a paper comparing battery vs hydrogen storage. Please have a read of the "README" file to get started.

A SlimefunAddon that is focused on climate-friendly and renewable power generation

Enhancing electricity price forecasting accuracy using a hybrid model combining GRU and XGBoost with detection-informed retraining for concept drift.

This repo is the code for the 2024 IEEE PES GM paper. It proposes a novel topology embedding method for handling topology problem in power system.

Repo containing code for solar PV and battery optimisation

list of cleantech companies in india

A decentralized application (dApp) that rewards users for producing energy via renewable sources

Dashboard to monitor electricity generation and demand for a region

Dashboard to explore Wind Farms in United Kingdom UK

Providing and analyzing the database of PV output forecast errors to examine what drives the accuracy of PV output forecasts