most citedNews and Load: A Quantitative Exploration of Natural Language Processing Applications for Forecasting Day-ahead Electricity System Demand

1 citations · 1 across the 3 of their papers we have counts for

collaborators
Showing cs.LGShow all

1 paper · 1 filter

cs.LG2023

Electricity Demand Forecasting through Natural Language Processing with Long Short-Term Memory Networks

Yun Bai, Simon Camal, Andrea Michiorri

Electricity demand forecasting is a well established research field. Usually this task is performed considering historical loads, weather forecasts, calendar information and known…