Assessment of Load Forecasting Uncertainties by Deterministic and Probabilistic LSTM Methods with Meteorological Data as Additional Inputs
Author:
Affiliation:
1. University of Edinburgh,School of Engineering,Edinburgh,Scotland, UK
2. The University of Campania "Luigi Vanvitelli",Department of Engineering,Aversa,Italy
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10667054/10667060/10667287.pdf?arnumber=10667287
Reference14 articles.
1. The Use of Probabilistic Forecasts: Applying Them in Theory and Practice
2. Using Bayesian Deep Learning to Capture Uncertainty for Residential Net Load Forecasting
3. A deep generative model for probabilistic energy forecasting in power systems: normalizing flows
4. Probabilistic short-term power load forecasting based on B-SCN
5. Probabilistic Forecasting of Electricity Demand Incorporating Mobility Data
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