All Outputs (2)

Artificial intelligence-enabled transaction prediction. (2025)
Thesis
ATALOR, D.O. 2025. Artificial intelligence-enabled transaction prediction. Robert Gordon University, MSc thesis. Hosted on OpenAIR [online]. Available from: https://doi.org/10.48526/rgu-wt-2934768

Predicting transaction behaviour and volume on e-commerce websites is difficult because transactional statistical methods don't do well with complex, unstructured data and cannot account for external factors like trends and promotions. Also, existing... Read More about Artificial intelligence-enabled transaction prediction..

Utilization of demand side management for stability improvement in renewable energy resources in United Kingdom. (2024)
Presentation / Conference Contribution
SUNDAS, R., ATALOR, D.O., BAIG, N.A. and YAHYA, H. 2024. Utilization of demand side management for stability improvement in renewable energy resources in United Kingdom. In Proceedings of the 2024 Future technologies conference (FTC 2024), 14-15 November 2024, London, UK. Lecture notes in networks and systems, 1154. Cham: Springer [online], 1, pages 558-571. Available from: https://doi.org/10.1007/978-3-031-73110-5_37

This research deals with the Particle Swarm Optimization (PSO) algorithm for a meagre load shifting in demand side management focusing on scheduling the residential, commercial, and industrial load in United Kingdom. Irregular and unscheduled load co... Read More about Utilization of demand side management for stability improvement in renewable energy resources in United Kingdom..