J. Bright

Artificial Intelligence · Renewable & Sustainable Energy Reviews · 2017–2019

A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom J. Bright trusts overall

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

  1. Christian A. Gueymard
  2. Christelle Rigollier
  3. John Boland
  4. Pierre Ineichen

Papers from J. Bright's perspective

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

  1. Online 24-h solar power forecasting based on weather type classification using artificial neural network
  2. Comparison of numerical weather prediction solar irradiance forecasts in the US, Canada and Europe
  3. Users Manual for TMY3 Data Sets (Revised)
  4. A logical calculus of the ideas immanent in nervous activity
  5. Comparing Predictive Accuracy
  6. Spatiotemporal interpolation and forecast of irradiance data using Kriging
  7. Data mining with big data (IEEE Transactions on Knowledge and Data Engineering)
  8. Short-Term Load and Wind Power Forecasting Using Neural Network-Based Prediction Intervals (IEEE Transactions on Neural Networks and Learning Systems)
  9. Decomposition of the Continuous Ranked Probability Score for Ensemble Prediction Systems
  10. A Simple Algorithm for Identifying Abbreviation Definitions in Biomedical Text (Pacific Symposium on Biocomputing)

Their papers