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Article

Hamilton, Robert I. and Papadopoulos, Panagiotis N. (2024) Using SHAP values and machine learning to understand trends in the transient stability limit. IEEE Transactions on Power Systems, 39 (1). pp. 1384-1397. ISSN 0885-8950

Hamilton, Robert I. and Papadopoulos, Panagiotis N. and Bukhsh, Waqquas and Bell, Keith (2022) Identification of important locational, physical and economic dimensions in power system transient stability margin estimation. IEEE Transactions on Sustainable Energy, 13 (2). pp. 1135-1146. ISSN 1949-3037

Hamilton, Robert I. and Papadopoulos, Panagiotis N. and Bell, Keith (2020) An investigation into spatial and temporal aspects of transient stability in power systems with increasing renewable generation. International Journal of Electrical Power and Energy Systems, 115. 105486. ISSN 0142-0615

Book Section

Kilembe, Alinane B. and Papadopoulos, Panagiotis N. and Hamilton, Robert I.; (2024) Data-driven approach to capturing wide-area frequency response dynamics. In: 2024 59th International Universities Power Engineering Conference (UPEC). IEEE, GBR. (In Press)

Report

Nedd, Marcel and Browell, Jethro and Egea-Alvarez, Agusti and Bell, Keith and Hamilton, Robert and Wang, Shuren and Brush, Susan (2020) Operating a Zero-Carbon GB Power System : Implications for Scotland. ClimateXChange, Edinburgh.

Nedd, Marcel and Browell, Jethro and Egea-Alvarez, Agusti and Bell, Keith and Hamilton, Robert and Wang, Shuren and Brush, Susan (2020) Operating a Zero Carbon GB Power System in 2025 : Frequency and Fault Current [Annexes - Review of System and Network Issues, Frequency Stability, Power Electronic Devices and Fault Current, & Market Needs]. University of Strathclyde, Glasgow.

Monograph

Hamilton, Robert I. and Papadopoulos, Panagiotis N. (2023) Using SHAP values and machine learning to understand trends in the transient stability limit. Preprint / Working Paper. arXiv, Ithaca, N.Y..

Hamilton, Robert I. and Stiasny, Jochen and Ahmad, Tabia and Chevalier, Samuel and Nellikkath, Rahul and Murzakhanov, Ilgiz and Chatzivasileiadis, Spyros and Papadopoulos, Panagiotis N. (2022) Interpretable machine learning for power systems : establishing confidence in SHapley Additive exPlanations. Other. arXiv, Ithaca, New York.