Operational day-ahead solar power forecasting for aggregated PV systems with a varying spatial distribution

Title
Operational day-ahead solar power forecasting for aggregated PV systems with a varying spatial distribution
Authors
Keywords
Solar forecast, Photovoltaics, Regional solar forecasting, Machine learning, LSTM, Day-ahead markets, PV aggregation
Journal
RENEWABLE ENERGY
Volume 183, Issue -, Pages 267-282
Publisher
Elsevier BV
Online
2021-11-04
DOI
10.1016/j.renene.2021.10.102

Ask authors/readers for more resources

Reprint

Contact the author

Discover Peeref hubs

Discuss science. Find collaborators. Network.

Join a conversation

Add your recorded webinar

Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.

Upload Now