Blockchains for Transactive Energy Systems

Funded in part by Siemens Corporate Technology

Aron Laszka
Aron Laszka
Taha Eghtesad
Taha Eghtesad
projects

Due to rapid growth in renewable energy resources and improvements in battery technology, power grids are undergoing major changes, which create significant management and control challenges. To tackle these challenges, decentralized solutions are needed, which can support the evolution of electrical power distribution systems. Transactive energy is a decentralized solution for dynamically balancing demand and supply, in which consumers, prosumers (i.e., consumers with energy storage or generation capabilities), providers, etc. can trade energy in an open market.

However, transactive energy solutions must also satisfy security, safety, and privacy requirements, which often seem to contradict each other. For example, to provide safety, detailed energy consumption and production information might need to be disseminated, but this threatens the privacy of prosumers. As another example, the complex and computationally expensive solutions required to provide security might not abide the real-time constraints of power systems.

In this project, we create a transactive energy system based on blockchain technology, using the distributed ledger provided by a blockchain to implement an energy trading platform. We develop protocols, smart contracts, middleware, and control algorithms to provide security, safety, and privacy for transactive energy.

Team

Aron Laszka
Associate Professor

Aron Laszka is an Associate Professor in the College of Information Sciences and Technology at the Pennsylvania State University. Previously, he was an Assistant Professor at the University of Houston, a Research Assistant Professor at Vanderbilt University, and a Postdoctoral Scholar at the University of California, Berkeley.

His research interests revolve around artificial intelligence and cyber-physical systems, focusing on machine learning for decision making and optimization, with applications in smart and connected communities, critical infrastructure, and cybersecurity.

His research is funded by the National Science Foundation, the Department of Energy, the Department of Transportation, and other agencies.

Taha Eghtesad
Ph.D. 2026
Taha Eghtesad joined the Applied Artificial Intelligence Lab as a Ph.D. student in Fall 2018 and received his Ph.D. in 2026 under the supervision of Dr. Aron Laszka. He received a B.S. degree in Computer Engineering, with a minor in Software Engineering, from Shahid Beheshti University, Tehran, Iran. His research lies at the intersection of machine learning, game theory, cyber-physical systems, and systems security. In particular, his Ph.D. research focused on using artificial intelligence and machine learning to make cyber-physical systems more secure.

Publications