Leveraging Hypernetworks and Learnable Kernels for Consumer Energy Forecasting Across Diverse Consumer Types

Overview

Uses hypernetworks and learnable kernels to adapt energy forecasts across diverse consumer profiles.

Research context

This work contributes to Time Series & Energy. The publication record above is the authoritative source for its current status; accepted papers will be updated when final bibliographic metadata becomes public.

@article{HypernetworksLearnableKernels2024,
  title = {Leveraging Hypernetworks and Learnable Kernels for Consumer Energy Forecasting Across Diverse Consumer Types},
  author = {M. U. Danish, K. Grolinger},
  year = {2024},
  journal = {IEEE Transactions on Power Delivery},
  doi = {10.1109/TPWRD.2024.3486010}
}