OrderFusion encodes orderbook buy-sell interactions in an end-to-end probabilistic model for intraday electricity price forecasting with non-crossing quantiles and reports consistent gains over baselines on European CID indices.
A hybrid model for gefcom2014 probabilistic electricity price forecasting
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
fields
q-fin.CP 2verdicts
UNVERDICTED 2representative citing papers
A structured review organizes deep learning models for electricity price forecasting via a backbone-head-loss taxonomy and identifies gaps in intraday and balancing market applications.
citing papers explorer
-
OrderFusion: Encoding Orderbook for End-to-End Probabilistic Intraday Electricity Price Forecasting
OrderFusion encodes orderbook buy-sell interactions in an end-to-end probabilistic model for intraday electricity price forecasting with non-crossing quantiles and reports consistent gains over baselines on European CID indices.
-
Deep Learning for Electricity Price Forecasting: A Review of Day-Ahead, Intraday, and Balancing Electricity Markets
A structured review organizes deep learning models for electricity price forecasting via a backbone-head-loss taxonomy and identifies gaps in intraday and balancing market applications.