Andrey Poddubnyy

• Master of Science
• PhD Student at Eindhoven University of Technology

The electricity network has reached its transport capacity limits in various areas in the Netherlands and the challenge of granting connections became critical. The concept of energy hubs, where neighboring prosumers collaborate to optimize the available capacity, poses itself as a short-term alternative for grid reinforcement. This study presents...

The extensive penetration of distributed energy resources (DERs), particularly electric vehicles (EVs), creates a huge challenge for the distribution grids due to the limited capacity. An approach for smart charging might alleviate this issue, but most of the optimization algorithms has been developed so far under an assumption of knowing the futur...

In this paper, the potential of reducing the electricity cost with the help of energy storage and controllable loads on the Russian retail electricity market is studied. The retail electricity market in Russia features different price categories, allowing consumers to reduce expenses with proper planning. Approximately 2/3 of the cost in flexible p...

This work proposes DeepFolio, a new model for deep portfolio management based on data from limit order books (LOB). DeepFolio solves problems found in the state-of-the-art for LOB data to predict price movements. Our evaluation consists of two scenarios using a large dataset of millions of time series. The improvements deliver superior results both...

In this work, we compared the performance of the ordinary Newton-Raphson method for calculating power flows against three quasi-Newton methods: chord, “good” and “bad” Broyden's methods. First, we illustrated and compared the performance of each method on systems of equations of different sizes. Secondly, we compared these methods on power flow cal...