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
A distributed, battery-free, supercapacitor-buffered sustainment system that produces mission-critical power, purified water, cooling, hydrogen, and oxygen at the point of need when conventional logistics are degraded, disrupted, or denied.
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.
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.
Linear programming model for battery energy storage systems (BESS) optimization, tracking State of Charge (SoC) dynamics and operational constraints.
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