activity
20192026
most citedNear-optimal demand side management in retail electricity markets with coupling constraints via indirect mechanism design

2 citations · 3 across the 5 of their papers we have counts for

collaborators

5 papers

eess.SY2026

Multi-Objective Deep Reinforcement Learning for Secure and Stable Power System Operation

Ioannis Papadopoulos, Georgios Tsaousoglou, Johanna Vorwerk

The ongoing energy transition challenges the stable operation of power systems and increases the need for rapid decision-making under uncertainty. While reinforcement learning has…

eess.SY2025

Safe Bottom-Up Flexibility Provision from Distributed Energy Resources

Costas Mylonas, Emmanouel Varvarigos, Georgios Tsaousoglou

Modern renewables-based power systems need to tap on the flexibility of Distributed Energy Resources (DERs) connected to distribution networks. It is important, however, that DER o…

cs.GT2019★ 2 cited

Near-optimal demand side management in retail electricity markets with coupling constraints via indirect mechanism design

Georgios Tsaousoglou, Konstantinos Steriotis, Nikolaos Efthymiopoulos +2

Recently there have been several historical changes in electricity networks that necessitate the development of Demand Side Management (DSM). The main objective of DSM is to achiev…

cs.GT2019★ 1 cited

Incentive Compatibility, Scalability and Privacy in real time Demand Response

Georgios Tsaousoglou, Konstantinos Steriotis, Nikolaos Efthymiopoulos +2

The high penetration of Renewable Energy Sources in modern smart grids necessitated the development of Demand Response (DR) mechanisms as well as corresponding innovative services…

cs.GT2019

A stochastic approximation method for price-based assignment of autonomous EVs to Charging Stations

Georgios Tsaousoglou, Konstantinos Steriotis, Emmanouel Varvarigos

This paper proposes a method for the stochastic estimation of Charging Stations prices based on dual decomposition. Prices are determined so as to minimize the social cost of the E…