Forecasting Short-Term Indoor Radon: A Machine Learning Approach Using LSTM Networks
Author:
Affiliation:
1. ADiT-Lab, Instituto Politécnico de Viana do Castelo,Viana do Castelo,Portugal,4900-348
Funder
European Regional Development Fund
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10210744/10211252/10211807.pdf?arnumber=10211807
Reference12 articles.
1. A Short-Term Load Demand Forecasting based on the Method of LSTM
2. Wind Speed Forecast using LSTM and Bi-LSTM Algorithms over Gabal El-Zayt Wind Farm
3. Estimation of a probability with guaranteed normalized mean absolute error
4. Medium- and Long-Term Precipitation Forecasting Method Based on Data Augmentation and Machine Learning Algorithms
5. Research on Short-Term Air Conditioning Cooling Load Forecasting Based on Bidirectional LSTM
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