Gordon Reikard

Artificial Intelligence · 2009–2019

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 16 citations into it; #8,018 of 35,345 by trust here, #19,439 by citations
• Renewable Energy, Sustainability and the Environment — 8 citations into it
• Global and Planetary Change — 7 citations into it
• Management Science and Operations Research — 6 citations into it; #1,800 of 11,946 by trust here, #4,921 by citations

Whom Gordon Reikard trusts overall

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

1. Christian A. Gueymard
2. Pierre Ineichen
3. Robert Fildes
4. G. Zhang

Who trusts Gordon Reikard overall

1. Ricardo Marquez
2. Hassan A. N. Hejase
3. Muhammad Naveed Akhter
4. Carlos F. M. Coimbra
5. Can Wan
6. Ali Assi
7. Saad Mekhilef
8. Jian Zhao
9. Hazlie Mokhlis
10. John Boland

Papers from Gordon Reikard's perspective

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

1. Regression Shrinkage and Selection via the Lasso
2. Forecasting with Exponential Smoothing
3. Comparison of numerical weather prediction solar irradiance forecasts in the US, Canada and Europe
4. Generalized autoregressive conditional heteroskedasticity
5. Out-of-sample tests of forecasting accuracy: an analysis and review
6. Online 24-h solar power forecasting based on weather type classification using artificial neural network
7. Comparing Predictive Accuracy
8. Comparing Predictive Accuracy, Twenty Years Later: A Personal Perspective on the Use and Abuse of Diebold–Mariano Tests
9. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
10. VERIFICATION OF FORECASTS EXPRESSED IN TERMS OF PROBABILITY

Their papers

• Predicting solar radiation at high resolutions: A comparison of time series forecasts (2009) — 655 citations
• Forecasting solar irradiance at short horizons: Frequency and time domain models (2019) — 61 citations