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Electricity Demand Forecasting through Natural Language Processing with Long Short-Term Memory Networks
This paper proposes a Long and Short-Term Memory (LSTM) network incorporating textual news features that successfully predicts the deterministic and probabilistic tasks of the UK national electricity demand.
News and Load: A Quantitative Exploration of Natural Language Processing Applications for Forecasting Day-ahead Electricity System Demand
This study explores the link between electricity demand and more nuanced information about social events.
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