This project focuses on applying AI and machine learning techniques to analyze and forecast energy demand, electricity prices, and market trends. It aims to support smart grid optimization, improve energy efficiency, and enable data-driven decision-making in modern power systems.
Dr. Sayed Reza with Dr. Habib Ullah and other collaborators has published a new paper in IEEE…
5 Members of the Data‑Driven Decision Making (D3M) Lab presented four research projects at the Penn…
We are thrilled to announce that two members of the Data Driven Decision Making (D3M) Lab, Sapan…
Lab members of the Data‑Driven Decision Making (D3M) Lab presented research at the National…
Harsh Desai, a member of the lab, recently presented his research at the APS Mid-Atlantic Section…
Three Lab members recently showcased their research at 2025 ICDS Poster Symposium. 1. Enhancing…
We are excited to announce that our latest work, “Descriptor: Unified Cross-Regional…