Research output per year
Research output per year
Personal profile
Research interests
Energy Forecasting, Renewable Energy Integration, Spatio-temporal Modelling, Graph Neural Network, Uncertainty Quantification
Education/Academic qualification
Computer science, Master’s Degree, Using Twitter sentiment analysis for sustainable improvement of business intelligence in Nigerian small and medium-scale enterprises, University of Nigeria, Nsukka
Award Date: 14 Dec 2021
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 3 Good Health and Well-being -
SDG 6 Clean Water and Sanitation -
SDG 7 Affordable and Clean Energy
Fingerprint
Dive into the research topics where Ugochukwu Orji is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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A Grid-Aware Spatio-Temporal Framework for Probabilistic Load Forecasting with Mondrian Conformal Calibration
Orji, U., Güven, Ç. & Stowell, D., 2026, (Accepted/In press) IEEE PES ISGT EUROPE 2026.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
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Exploring sustainable water management and energy transition in Curaçao: ILUSTRE Lab consortium visit report
Güven, Ç., Kaymak, U., Khaled, Q., Latifi, M., Ahmed Sadek, I., Mwandingi, K., Noorman, M., Orji, U., Pasqualini, M., Salessa, R. & Zucca, C., 30 Jan 2026, (In preparation) 15 p.Research output: Book/Report › Report
File46 Downloads (Pure) -
Probabilistic Residual Load Modelling with Spatio-Temporal Graph Neural Networks and Mondrian Conformal Calibration
Orji, U., Güven, Ç. & Stowell, D., 2026, (Accepted/In press) 8th International Conference on Smart Energy Systems and Technologies.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
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Data driven approach towards more efficient Newton-Raphson power flow calculation for distribution grids
Yan, S., Vazinram, F., Kaseb, Z., Spoor, L., Stiasny, J., Mamudi, B., Ardakani, A. H., Orji, U., Vergara, P. P., Xiang, Y. & Guo, J., 15 Apr 2025Research output: Book/Report › Report
File6 Downloads (Pure) -
Enhanced Load Forecasting with GAT-LSTM: Leveraging Grid and Temporal Features
Orji, U., Güven, Ç. & Stowell, D., Feb 2025. 9 p.Research output: Contribution to conference › Paper › Scientific
Open AccessFile4 Downloads (Pure)
Activities
- 1 Oral presentation
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AI for Power Load & Renewable Energy Forecasting - (ILUSTRE LAB)
Orji, U. (Speaker), Güven, Ç. (Speaker) & Stowell, D. (Speaker)
22 Nov 2024Activity: Talk or presentation types › Oral presentation › Scientific