Short-term load forecasting based on LSTM networks considering attention mechanism

Scikit-learn: Machine Learning in Python

Fabián Pedregosa, Gaël Varoquaux, Alexandre Gramfort et al. · arXiv (Cornell University) · 2012 · 63.7K citations · Full text

Computing, Computer Science, Artificial Intelligence +10

TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems

Martı́n Abadi, Ashish Agarwal, Paul Barham et al. · arXiv (Cornell University) · 2016 · 9.8K citations · Full text

Computing, Computer Engineering, Computer Science +13

On the Properties of Neural Machine Translation: Encoder–Decoder Approaches

Kyunghyun Cho, Bart van Merriënboer, Dzmitry Bahdanau et al. · 2014 · 6.6K citations · Full text

Computing, Computer Science, Natural Language Processing +12

A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction

Yao Qin, Dongjin Song, Haifeng Chen et al. · 2017 · 1.4K citations · Full text

Computing, Data Science, Forecasting +11

Review of Smart Meter Data Analytics: Applications, Methodologies, and Challenges

Yi Wang, Qixin Chen, Tao Hong et al. · IEEE Transactions on Smart Grid · 2018 · 1.3K citations · Full text

Computing, Data Science, Big Data Analytics +16