Energy Consumption Forecasting in Buildings Based on Long- term and Short-term Memory Networks
Author:
Affiliation:
1. North China Electric Power University,Baoding,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10659854/10659821/10660005.pdf?arnumber=10660005
Reference12 articles.
1. A review of data-driven building energy consumption prediction studies
2. Forecasting economics and financial time series: ARIMA vs. LSTM[J];Siami-Namini,2018
3. Support vector regression for predicting building energy consumption in southern China
4. Predicting the energy consumption in buildings using the optimized support vector regression model
5. Investigating the Power of LSTM-Based Models in Solar Energy Forecasting
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