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AI-enhanced multi-timescale optimization strategy for virtual power plants: Advancing losad forecasting and dynamic demand response integration — Europe PMC PMID:41575975

Source: Europe PMC (en)
Original: https://europepmc.org/article/MED/41575975
DOI: 10.1371/journal.pone.0339606
License (as archived): solo-consultazione
Archived: 2026-10-07T16:13:43.500Z
SHA-256 of the archived text: c21c771c6927c206653586cbf72722b9d623f3a55e42ad8d0dc2bb328b2a03ee
Stable URL of this page: https://metraipolis.com/documento/dc_63eae5c2dddf

How to cite

AI-enhanced multi-timescale optimization strategy for virtual power plants: Advancing losad forecasting and dynamic demand response integration — Europe PMC PMID:41575975 — Europe PMC (en), https://europepmc.org/article/MED/41575975 (solo-consultazione); archived copy: https://metraipolis.com/documento/dc_63eae5c2dddf (Metraipolis archive dc_63eae5c2dddf, sha256 c21c771c6927c206653586cbf72722b9d623f3a55e42ad8d0dc2bb328b2a03ee)

BibTeX

@misc{dc63eae5c2dddf,
  title = {AI-enhanced multi-timescale optimization strategy for virtual power plants: Advancing losad forecasting and dynamic demand response integration — Europe PMC PMID:41575975},
  howpublished = {Europe PMC (en)},
  url = {https://europepmc.org/article/MED/41575975},
  note = {License solo-consultazione; archived copy https://metraipolis.com/documento/dc_63eae5c2dddf; sha256 c21c771c6927c206653586cbf72722b9d623f3a55e42ad8d0dc2bb328b2a03ee},
  year = {2026}
}

Archived text

The text is not reproduced here: the archive holds it as solo-consultazione (consultation only, no republication). Read it at the original source: https://europepmc.org/article/MED/41575975. Agents can read the archived copy with the MCP tool read_document.