Research Publications Originating from LEAP

2024

  1. Explainable Artificial Intelligence for Crowd Forecasting Using Global Ensemble Echo State Networks. Samarajeewa, C., De Silva, D., Manic, M., Mills, N., Rathnayaka, P. and Jennings, A., 2024. IEEE Open Journal of the Industrial Electronics Society. Publisher: IEEE DOI:10.1109/OJIES.2024.3397789

  2. A Lifecycle Approach for Artificial Intelligence Ethics in Energy Systems. El-Haber, N., Burnett, D., Halford, A., Stamp, K., De Silva, D., Manic, M., & Jennings, A., Energies, 2024, 18, p.1935. DOI:

  3. Optimizing Generative AI Chatbots for Net-Zero Emissions Energy Internet-of-Things Infrastructure. Matharaarachchi, A., Mendis, W., Randunu, K., De Silva, D., Gamage, G., Moraliyage, H., Mills, N. & Jennings, A., Energies, 2024, 17, p.1935. DOI: 10.3390/en17081935

  4. Multi-Agent RAG Chatbot Architecture for Decision Support in Net-Zero Emission Energy Systems. Gamage, G., Mills, N., De Silva, D., Manic, M., Moraliyage, H., Jennings, A. & Alahakoon, D., 2024 IEEE International Conference on Industrial Technology (ICIT), Bristol, United Kingdom, 2024, pp. 1-6. DOI: 10.1109/ICIT58233.2024.10540920,

  5. A Comparative Analysis of Machine Learning-Based Energy Baseline Models across Multiple Building Types. Wu, J., Nguyen, S., Alahakoon, D., De Silva, D., Mills, N., Rathnayaka, P., Moraliyage, H. & Jennings, A., Energies, 2024, 17, p.1285. DOI: 10.3390/en17061285

2023

  1. Augmenting Industrial Chatbots in Energy Systems using ChatGPT Generative AI. Gamage, G., Kahawala, S., Mills, N., De Silva, D., Manic, M., Alahakoon, D. & Jennings, A., 2023 IEEE 32nd International Symposium on Industrial Electronics (ISIE), Helsinki, Finland, 2023, pp. 1-6. DOI: 10.1109/ISIE51358.2023.10228101

  2. ChatGPT and generative ai guidelines for addressing academic integrity and augmenting pre-existing chatbots. De Silva, D., Mills, N., El-Ayoubi, M., Manic, M. and Alahakoon, D., 2023. In 2023 IEEE International Conference on Industrial Technology (ICIT) (pp. 1-6). IEEE. 10.1109/ICIT58465.2023.10143123

  3. Artificial Intelligence for Electric Vehicle Infrastructure: Demand Profiling, Data Augmentation, Demand Forecasting, Demand Explainability and Charge Optimisation. Sumanasena, V., Gunasekara, L., Kahawala, S., Mills, N., De Silva, D., Jalili, M., Sierla, S. & Jennings, A., Energies, 2023, 16(5), p.2245. DOI: 10.3390/en16052245

  4. Automated Machine Learning in Critical Energy Infrastructure for Net Zero Carbon Emissions. Moraliyage, H., Dahanayake, S., De Silva, D., Mills, N., Rathnayaka, P., Nguyen, S., Alahakoon, D. & Jennings, A., 2023 IEEE 32nd International Symposium on Industrial Electronics (ISIE), Helsinki, Finland, 2023, pp. 1-7. DOI: 10.1109/ISIE51358.2023.10227985

  5. A Cybersecurity Framework for Home Energy Management Systems using Artificial Intelligence. Gunasekara, L., Moraliyage, H., De Silva, D., Mills, N., Alahakoon, D., Jennings, A. and Manic, M., 2023. In 2023 IEEE 32nd International Symposium on Industrial Electronics (ISIE) (pp. 1-6). IEEE. 10.1109/ISIE51358.2023.10227961

2022

  1. Comparative Evaluation of Gradient Boosting with Active Thresholding and Model Explainability for Peak Demand Forecasting. Kahawala, S., Haputhanthri, D., Moraliyage, H., Wimalaratne, S., Alahakoon, D. & Jennings, A., 2022 15th International Conference on Human System Interaction (HSI), Melbourne, Australia, 2022, pp. 1-6. DOI: 10.1109/HSI55341.2022.9869462

  2. Cooee: An Artificial Intelligence Chatbot for Complex Energy Environments. Gamage, G., Mills, N., Rathnayaka, P., Jennings, A. & Alahakoon, D., 2022 15th International Conference on Human System Interaction (HSI), Melbourne, Australia, 2022, pp. 1-5. DOI: 10.1109/HSI55341.2022.9869464

  3. Specialist vs Generalist: A Transformer Architecture for Global Forecasting Energy Time Series. Rathnayaka, P., Moraliyage, H., Mills, N., De Silva, D. & Jennings, A., 2022 15th International Conference on Human System Interaction (HSI), Melbourne, Australia, 2022, pp. 1-5. DOI: 10.1109/HSI55341.2022.9869463

  4. UNISOLAR: An Open Dataset of Photovoltaic Solar Energy Generation in a Large Multi-Campus University Setting. Wimalaratne, S., Haputhanthri, D., Kahawala, S., Gamage, G., Alahakoon, D. & Jennings, A., 2022 15th International Conference on Human System Interaction (HSI), Melbourne, Australia, 2022, pp. 1-5. DOI: 10.1109/HSI55341.2022.9869474

  5. UNICON: An Open Dataset of Electricity, Gas and Water Consumption in a Large Multi-Campus University Setting. Moraliyage, H., Mills, N., Rathnayake, P., De Silva, D. & Jennings, A., 2022 15th International Conference on Human System Interaction (HSI), Melbourne, Australia, 2022, pp. 1-8. DOI: 10.1109/HSI55341.2022.9869498

  6. Cloud Edge Architecture Leveraging Artificial Intelligence and Analytics for Microgrid Energy Optimisation and Net Zero Carbon Emissions. Mills, N., Rathnayaka, P., Moraliyage, H., De Silva, D. & Jennings, A., 2022 15th International Conference on Human System Interaction (HSI), Melbourne, Australia, 2022, pp. 1-7. DOI: 10.1109/HSI55341.2022.9869465

  7. A Robust Artificial Intelligence Approach with Explainability for Measurement and Verification of Energy Efficient Infrastructure for Net Zero Carbon Emissions. Moraliyage, H., Dahanayake, S., De Silva, D., Mills, N., Rathnayaka, P., Nguyen, S., Alahakoon, D. & Jennings, A., Sensors, 2022, 22(23), p.9503. DOI: 10.3390/s22239503

2020-2021

  1. Solar irradiance nowcasting for virtual power plants using multimodal long short-term memory networks. Haputhanthri, D., De Silva, D., Sierla, S., Alahakoon, D., Nawaratne, R., Jennings, A. & Vyatkin, V., Frontiers in Energy Research, 2021, 9, p.722212. DOI: 10.3389/fenrg.2021.722212

  2. Robust multi-step predictor for electricity markets with real-time pricing. Kahawala, S., De Silva, D., Sierla, S., Alahakoon, D., Nawaratne, R., Osipov, E., Jennings, A. & Vyatkin, V., Energies, 2021, 14(14), p.4378. DOI: 10.3390/en14144378

  3. An Artificial Intelligence framework for bidding optimization with uncertainty in multiple frequency reserve markets. Kempitiya, T., Sierla, S., De Silva, D., Yli-Ojanperä, M., Alahakoon, D. and Vyatkin, V., Applied Energy, 2020, 280, p.115918. DOI: 10.1016/j.apenergy.2020.115918

  4. Self-building artificial intelligence and machine learning to empower big data analytics in smart cities Alahakoon, D., Nawaratne, R., Xu, Y., De Silva, D., Sivarajah, U. and Gupta, B., 2020. Information Systems Frontiers, pp.1-20. DOI: 10.1007/s10796-020-10056-x

  5. Toward intelligent industrial informatics: A review of current developments and future directions of artificial intelligence in industrial applications De Silva, D., Sierla, S., Alahakoon, D., Osipov, E., Yu, X. and Vyatkin, V., 2020. IEEE Industrial Electronics Magazine, 14(2), pp.57-72. 10.1109/MIE.2019.2952165