标题
Ultra-Short-Term Load Demand Forecast Model Framework Based on Deep Learning
作者
关键词
-
出版物
Energies
Volume 13, Issue 18, Pages 4900
出版商
MDPI AG
发表日期
2020-09-18
DOI
10.3390/en13184900
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Comparative study of machine learning-based multi-objective prediction framework for multiple building energy loads
- (2020) X.J. Luo et al. Sustainable Cities and Society
- A comparison of day-ahead photovoltaic power forecasting models based on deep learning neural network
- (2019) Kejun Wang et al. APPLIED ENERGY
- Hourly day-ahead solar irradiance prediction using weather forecasts by LSTM
- (2018) Xiangyun Qing et al. ENERGY
- LSTM with sentence representations for document-level sentiment classification
- (2018) Guozheng Rao et al. NEUROCOMPUTING
- Forecasting of Chinese Primary Energy Consumption in 2021 with GRU Artificial Neural Network
- (2017) Bingchun Liu et al. Energies
- An adaption scheduling based on dynamic weighted random forests for load demand forecasting
- (2017) Mincheng Chen et al. JOURNAL OF SUPERCOMPUTING
- LSTM: A Search Space Odyssey
- (2017) Klaus Greff et al. IEEE Transactions on Neural Networks and Learning Systems
- Deep Learning for Household Load Forecasting – A Novel Pooling Deep RNN
- (2017) Heng Shi et al. IEEE Transactions on Smart Grid
- Short-Term Residential Load Forecasting based on LSTM Recurrent Neural Network
- (2017) Weicong Kong et al. IEEE Transactions on Smart Grid
- Deep belief network based deterministic and probabilistic wind speed forecasting approach
- (2016) H.Z. Wang et al. APPLIED ENERGY
- Deep Neural Network Based Demand Side Short Term Load Forecasting
- (2016) Seunghyoung Ryu et al. Energies
- Deep belief network based electricity load forecasting: An analysis of Macedonian case
- (2016) Aleksandra Dedinec et al. ENERGY
- Wind speed forecasting based on the hybrid ensemble empirical mode decomposition and GA-BP neural network method
- (2016) Shouxiang Wang et al. RENEWABLE ENERGY
- Performance of state space and ARIMA models for consumer retail sales forecasting
- (2015) Patrícia Ramos et al. ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
- From Feedforward to Recurrent LSTM Neural Networks for Language Modeling
- (2015) Martin Sundermeyer et al. IEEE-ACM Transactions on Audio Speech and Language Processing
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