Category: Electricity Market
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New Publication in IEEE Data Descriptions Journal
Dr. Sayed Reza with Dr. Habib Ullah and other collaborators has published a new paper in IEEE, titled “Descriptor: Global Electricity Markets Load Forecasting and Planning Dataset (GloElecLoad)”. Read the paper: https://ieeexplore.ieee.org/document/11489469 This work introduces GloElecLoad, a comprehensive dataset designed to support research in electricity load forecasting, energy planning, and data‑driven decision making in global…
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Five Lab Students Present Research at Penn State Undergraduate Exhibition 2026
5 Members of the Data‑Driven Decision Making (D3M) Lab presented four research projects at the Penn State Undergraduate Exhibition 2026, held at University Park. This annual exhibition showcases innovative undergraduate research from across the university, featuring hundreds of student projects spanning engineering, health sciences, and interdisciplinary fields. The presented projects highlight the breadth of data‑driven…
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D3M Lab Students Won Honors at the 2026 Central Pennsylvania Engineers Week Council Awards
We are thrilled to announce that two members of the Data Driven Decision Making (D3M) Lab, Sapan Shah and Harsh Desai, earned recognition at the Central Pennsylvania Engineers Week Council 2026 Undergraduate Research and Capstone Awards. At last evening’s prestigious Engineers Week Banquet, the following students were honored for their outstanding research contributions: Grand Recipient:…
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Lab Members Pranav, Lasya Present Research at NCRC 2026
Lab members of the Data‑Driven Decision Making (D3M) Lab presented research at the National Collegiate Research Conference (NCRC) 2026, held at Harvard University and hosted by the Harvard Undergraduate Research Association (HURA). LinkedIn Post: https://www.linkedin.com/feed/update/urn:li:activity:7422450728159567873/ The presented work focused on day‑ahead electricity price forecasting using a hybrid CNN–BiLSTM–Attention deep learning model with automated hyperparameter tuning…
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Lab Member Harsh Desai Presents Research at APS Mid-Atlantic Section Annual Meeting 2025
Harsh Desai, a member of the lab, recently presented his research at the APS Mid-Atlantic Section (MAS) 2025 Annual Meeting, held at Penn State Harrisburg in Middletown, PA. During the poster session, Harsh presented his work titled:“Cross-Continental Electricity Price Prediction Using Quantum AI.” This research explores the application of quantum-inspired artificial intelligence techniques to forecast…
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Lab Member Akintaro, Pranav and Lasya Present at Penn State 2025 ICDS Poster Symposium
Three Lab members recently showcased their research at 2025 ICDS Poster Symposium. 1. Enhancing Predictive Maintenance in Power Distribution Networks Presenter: Akintaro Akinwale, PhD StudentTitle: Enhancing Predictive Maintenance Strategies in Power Distribution Network using Fault Pattern Analysis with Association Rule MiningThis research introduces a novel approach to predictive maintenance by leveraging fault pattern analysis combined…
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New Publication at IEEE Data Descriptions Journal
We are excited to announce that our latest work, “Descriptor: Unified Cross-Regional Time-Series Day-Ahead Electricity Price Dataset (UniElecPrice)”, has been accepted for publication in IEEE Data Descriptions and is now available on IEEE Xplore. Abstract & Early Access:https://doi.org/10.1109/IEEEDATA.2025.3609683 This paper introduces UniElecPrice, a unified dataset that aggregates cross-regional, time-series day-ahead electricity prices. The dataset is…