Abstract: High penetration of renewable energy resources into future power systems has necessitated to develop more innovative models for pursuing the effects of such a renewable energy transition.
Currently, azcausal provides two well-known and widely used causal inference methods: Difference-in-Difference (DID) and Synthetic Difference-in-Difference (SDID ...
BNN, BLR Johansson, Fredrik, Uri Shalit, and David Sontag. "Learning representations for counterfactual inference." 33rd International Conference on Machine Learning ...
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