DIETERpy: a Python framework for The Dispatch and Investment Evaluation Tool with Endogenous Renewables. To cite this Original Software Publication: https://www.sciencedirect.com/science/article/pii/S2352711021000947
EV Charging Optimization uses smart pricing, demand forecasting, and renewable integration to reduce grid stress and optimize charging. Route & Fleet Management applies real-time data, ML, and optimization algorithms to improve routing, safety, and operational efficiency.
Simulation-based analysis & optimization of residential and neighbourhood PV systems — weather-driven generation, neural-network load forecasting, battery storage, and tariff-aware dispatch. PAC Concept SoSe 2025, TH Köln.
Add a description, image, and links to the renewable-energy-integration topic page so that developers can more easily learn about it.
To associate your repository with the renewable-energy-integration topic, visit your repo's landing page and select "manage topics."