Data and code of my paper "Real-time operation strategy of virtual power plants with optimal power disaggregation among heterogeneous resources"

A comprehensive Python library for virtual power plant management, simulation, and research

Virtual Power Plant dApp - a decentralized demo dApp of a virtual power plant that onboards battery assets, charges and discharges them based on spot prices, and allows investors to earn dividends based on profits from energy trading. Built with Solidity-based smart contracts.

Software for the use of Multi-agent Systems in Virtual Power Plants to realize Demand Response Mechanisms

Forecasts of the power market prices before the day-ahead market closure time are prone to significant error. I predict whether the day ahead (PTF in Turkish) or balancing (standard marginal price (SMF in Turkish)) will be higher at a given hour next day. It creates decisive forecasts for reducing the balancing cost.

A virtual power plant (VPP) simulator.

This program optimizes the operation and bidding strategy of renewable-based Virtual Power Plants (RVPPs) under different sources of uncertainty using MILP-based flexible robust optimization approaches. The model considers RVPP participation in the Day-Ahead, Secondary Reserve, and Intra-Day Iberian electricity markets.

Automated half-hour scrapers for LUMA & Tesla data in Puerto Rico, plus a polars notebook with daily stacked supply and peak-hour waterfall charts.