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
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).
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