Ran Li
IEEE Transactions on Smart Grid · with Gu · 2016–2018
A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Whom Ran Li trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Gianluca Pollastri (in Computational Theory and Mathematics)
- Pierre Baldi (in Computational Theory and Mathematics)
- Alessandro Lusci (in Computational Theory and Mathematics)
Who trusts Ran Li
- Tao Huang (in Electrical and Electronic Engineering)
- Ettore Francesco Bompard (in Electrical and Electronic Engineering)
- Yang Zhang (in Electrical and Electronic Engineering)
Papers from Ran Li's perspective
Ordered by how strongly the researchers Ran Li trusts endorse each paper. Same corpus, a different order for every researcher.
- A Fast Learning Algorithm for Deep Belief Nets
- Speech recognition with deep recurrent neural networks
- Deep Learning
- Mastering the game of Go with deep neural networks and tree search
- TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
- Multilayer feedforward networks are universal approximators
- A logical calculus of the ideas immanent in nervous activity
- How to Construct Deep Recurrent Neural Networks
- Global Energy Forecasting Competition 2012
- Probabilistic electric load forecasting: A tutorial review
Their papers
- Deep Learning for Household Load Forecasting—A Novel Pooling Deep RNN (2018) — 983 citations
- Economic planning of electric vehicle charging stations considering traffic constraints and load profile templates (2016) — 219 citations