Tao Hong

Electrical and Electronic Engineering · IEEE Transactions on Smart Grid · 2014–2020

A researcher in the Science corpus: 7 papers; trusts 18 researchers and is trusted by 31 researchers here, as inferred from the citation graph.

Subfields

• Electrical and Electronic Engineering — 89 citations into it; #970 of 16,539 by trust here, #3,761 by citations
• Management Science and Operations Research — 37 citations into it; #3,079 of 11,946 by trust here, #2,799 by citations
• Economics and Econometrics — 17 citations into it; #19,296 of 23,481 by trust here, #10,133 by citations
• Computer Vision and Pattern Recognition — 13 citations into it
• Global and Planetary Change — 10 citations into it
• Control and Systems Engineering — 9 citations into it
• Atmospheric Science — 8 citations into it
• Building and Construction — 6 citations into it

Whom Tao Hong trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Rob J Hyndman
2. Shu Fan
3. Tilmann Gneiting
4. Pierre Pinson
5. Rafal Weron
6. George Athanasopoulos
7. James W. Taylor
8. Jakub Nowotarski
9. Bo-Juen Chen
10. Sylvain Arlot

Who trusts Tao Hong overall

1. Jakub Nowotarski
2. Yi Wang
3. Rafal Weron
4. Bidong Liu
5. Yao Zhang
6. Daniel Ambach
7. Bartosz Uniejewski
8. Stephen A. Haben
9. Qixin Chen
10. Florian Ziel

Papers from Tao Hong's perspective

Ordered by how strongly the researchers Tao Hong trusts endorse each paper. Same corpus, a different order for every researcher.

1. Probabilistic energy forecasting: Global Energy Forecasting Competition 2014 and beyond
2. Probabilistic electric load forecasting: A tutorial review
3. A survey of cross-validation procedures for model selection
4. Probabilistic forecasts, calibration and sharpness
5. Optimal combination forecasts for hierarchical time series
6. The Combination of Forecasts
7. Making and Evaluating Point Forecasts
8. Out-of-sample tests of forecasting accuracy: an analysis and review
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Regression Shrinkage and Selection via the Lasso

Their papers

• Probabilistic electric load forecasting: A tutorial review (2016) — 1,260 citations
• Probabilistic energy forecasting: Global Energy Forecasting Competition 2014 and beyond (2016) — 969 citations
• Global Energy Forecasting Competition 2012 (2014) — 555 citations
• Probabilistic Load Forecasting via Quantile Regression Averaging on Sister Forecasts (2017) — 318 citations
• Review of Smart Meter Data Analytics: Applications, Methodologies, and Challenges (2018) — 1,141 citations
• Long Term Probabilistic Load Forecasting and Normalization With Hourly Information (2014) — 331 citations
• Energy Forecasting: A Review and Outlook (2020) — 505 citations