Energy forecasting in smart grid systems: recent advancements in probabilistic deep learning
Author:
Affiliation:
1. School of Engineering Deakin University Waurn Ponds Australia
2. Faculty of Engineering and Environment Northumbria University Newcastle Upon Tyne UK
3. School of Electrical & Electronics Engineering Nanyang Technological University Singapore
Publisher
Institution of Engineering and Technology (IET)
Subject
Electrical and Electronic Engineering,Energy Engineering and Power Technology,Control and Systems Engineering
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1049/gtd2.12603
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