Hao Quan
Management Science and Operations Research · 2014
A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Management Science and Operations Research — 6 citations into it
- Electrical and Electronic Engineering — 5 citations into it; #7,065 of 16,539 by trust here, #10,714 by citations
Whom Hao Quan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Abbas Khosravi
- James W. Taylor
- Shu Fan
- Derrick Nguyen
- Scott E. Fahlman
- Henrique S. Hippert
- Saeid Nahavandi
- Rob J Hyndman
- Patrick E. McSharry
- Bernard Widrow
Who trusts Hao Quan overall
- Grzegorz Dudek
- Aleksandra Dedinec
- Mahmoud Shepero
- Dazhi Yang
- Dennis van der Meer
- H. Pedro
- Joakim Munkhammar
- Sonja Filiposka
- Jan Kleissl
Papers from Hao Quan's perspective
Ordered by how strongly the researchers Hao Quan trusts endorse each paper. Same corpus, a different order for every researcher.
- Short-Term Load Forecasting Methods: An Evaluation Based on European Data (IEEE Transactions on Power Systems)
- Confidence interval prediction for neural network models
- Practical Confidence and Prediction Intervals
- Lower Upper Bound Estimation Method for Construction of Neural Network-Based Prediction Intervals (IEEE Transactions on Neural Networks)
- Neural networks for short-term load forecasting: a review and evaluation
- Short-Term Load Forecasting Based on a Semi-Parametric Additive Model (IEEE Transactions on Power Systems)
- Improving the learning speed of 2-layer neural networks by choosing initial values of the adaptive weights
- The Cascade-Correlation Learning Architecture
- A new optimizer using particle swarm theory
- Day-ahead electricity price forecasting using the wavelet transform and ARIMA models (IEEE Transactions on Power Systems)
Their papers
- Short-Term Load and Wind Power Forecasting Using Neural Network-Based Prediction Intervals (2014) — 571 citations