Kaile Zhou
Economics and Econometrics · 2015–2020
A researcher in the Science corpus: 13 papers; trusts 12 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Economics and Econometrics — 197 citations into it
- Renewable Energy, Sustainability and the Environment — 157 citations into it
- Electrical and Electronic Engineering — 123 citations into it; #7,807 of 16,539 by trust here, #6,070 by citations
- Environmental Engineering — 85 citations into it
- Management, Monitoring, Policy and Law — 43 citations into it; #1,428 of 2,821 by trust here, #1,579 by citations
- Building and Construction — 31 citations into it
- Sociology and Political Science — 19 citations into it
Whom Kaile Zhou trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- L. Steg
- Goran Strbac
- Yue‐Jun Zhang
- Edwin A. Locke
- Alex Y. Lo
- Paresh Kumar Narayan
- Boqiang Lin
- Shanlin Yang
- Iana Vassileva
- Muhammad Shahbaz
Who trusts Kaile Zhou overall
Papers from Kaile Zhou's perspective
Ordered by how strongly the researchers Kaile Zhou trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Long Short-Term Memory
- Learning Multiple Layers of Features from Tiny Images
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Going deeper with convolutions
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
Their papers
- Understanding household energy consumption behavior: The contribution of energy big data analytics (2016) — 388 citations
- Big data driven smart energy management: From big data to big insights (2016) — 740 citations
- Land use efficiency and influencing factors of urban agglomerations in China (2019) — 299 citations
- On electricity consumption and economic growth in China (2017) — 212 citations
- Demand side management in China: The context of China’s power industry reform (2015) — 123 citations
- Energy Internet: The business perspective (2016) — 304 citations
- A hybrid deep learning model for short-term PV power forecasting (2020) — 464 citations
- Carbon finance and carbon market in China: Progress and challenges (2019) — 262 citations
- Analysis of electricity consumption in China (1990–2016) using index decomposition and decoupling approach (2019) — 113 citations
- Optimal load dispatch of community microgrid with deep learning based solar power and load forecasting (2019) — 350 citations
- Regional heterogeneity of China's energy efficiency in “new normal”: A meta-frontier Super-SBM analysis (2019) — 163 citations
- A meta-analysis on the price elasticity and income elasticity of residential electricity demand (2018) — 131 citations
- Residential electricity consumption behavior: Influencing factors, related theories and intervention strategies (2018) — 275 citations