Temperature sensitivity of residential energy demand on the global scale: A Bayesian Partial Pooling Model

@article{peer2026,
  title        = {{Temperature sensitivity of residential energy demand on the global scale: A Bayesian Partial Pooling Model}},
  author       = {Peer Lasse Hinrichsen et al.},
  journal      = {Energy Economics},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1016/j.eneco.2026.109338},
}

TY  - JOUR
TI  - Temperature sensitivity of residential energy demand on the global scale: A Bayesian Partial Pooling Model
AU  - al., Peer Lasse Hinrichsen et
JO  - Energy Economics
PY  - 2026
ER  -

Peer Lasse Hinrichsen et al. (2026). Temperature sensitivity of residential energy demand on the global scale: A Bayesian Partial Pooling Model. *Energy Economics*. https://doi.org/https://doi.org/10.1016/j.eneco.2026.109338

Peer Lasse Hinrichsen et al.. "Temperature sensitivity of residential energy demand on the global scale: A Bayesian Partial Pooling Model." *Energy Economics* (2026). https://doi.org/https://doi.org/10.1016/j.eneco.2026.109338.

Temperature sensitivity of residential energy demand on the global scale: A Bayesian Partial Pooling Model
Peer Lasse Hinrichsen et al. · Energy Economics · 2026
https://doi.org/https://doi.org/10.1016/j.eneco.2026.109338