Publications

You can also find my articles on my Google Scholar profile.

Federated Learning Forecasting for Strengthening Grid Reliability and Enabling Markets for Resilience

Published in International Conference On Electricity Distribution (CIRED) USA Workshop, 2024

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Recommended citation: Pereira, P., Nair, V.J., Annaswamy, A.M., Dias, B., and Morais, H. (2024). Federated Learning Forecasting for Strengthening Grid Reliability and Enabling Markets for Resilience. International Conference On Electricity Distribution (CIRED) USA Workshop. https://arxiv.org/abs/2407.11571

Accurate federated learning with uncertainty quantification for distributed energy resource forecasting applied to smart grids planning and operation: the ALAMO vision

Published in International Conference On Electricity Distribution (CIRED) Vienna Workshop, 2024

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Recommended citation: Pereira, P., Nair, V.J., Annaswamy, A.M., Dias, B., and Morais, H. (2024). Accurate Federated Learning With Uncertainty Quantification For Distributed Energy Resource Forecasting Applied To Smart Grids Planning And Operation: The ALAMO Vision. International Conference On Electricity Distribution Vienna Workshop. https://www.alspereira.info/wp-content/uploads/2024/05/CIRED-2024.pdf

Resilience of the Electric Grid through Trustable IoT-Coordinated Assets

Published in Proceedings of the National Academy of Sciences (PNAS), submitted, under review, 2024

Recommended citation: Nair, V.J. et al. (2024). Resilience of the Electric Grid through Trustable IoT-Coordinated Assets. Submitted to PNAS.

Recommended citation: Nair, V.J. et al. (2024). Resilience of the Electric Grid through Trustable IoT-Coordinated Assets. Submitted to PNAS.

Improving accuracy and convergence of federated learning edge computing methods for generalized DER forecasting applications in power grid

Published in Tackling Climate Change with Machine Learning Workshop, 36th Annual Conference on Neural Information Processing Systems (NeurIPS), 2022

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Recommended citation: Nair, V. J., and Pereira, L. (2022). Improving accuracy and convergence of federated learning edge computing methods for generalized DER forecasting applications in power grids. Tackling Climate Change with Machine Learning Workshop, 36th Annual Conference on Neural Information Processing Systems (NeurIPS). https://www.climatechange.ai/papers/neurips2022/111