World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
53
Citations
9216
World Ranking
3463
National Ranking
707

Overview

Dazhi Yang is affiliated with the Harbin Institute of Technology in China. Their research spans multiple areas primarily within engineering and computer science, with significant contributions to electrical and electronic engineering, artificial intelligence, renewable energy, sustainability, environmental studies, global and planetary change, and atmospheric science.

Their publication record includes high-impact research in several frequent venues, notably:

  • Solar Energy
  • Renewable and Sustainable Energy Reviews
  • Journal of Renewable and Sustainable Energy
  • Energy
  • Advances in Atmospheric Sciences

Dazhi Yang has authored and coauthored numerous papers covering key topics such as solar radiation and photovoltaics, energy load and power forecasting, photovoltaic system optimization techniques, solar thermal and photovoltaic systems, meteorological phenomena and simulations, atmospheric aerosols and clouds, and advanced battery technologies research.

Frequent collaborators of Dazhi Yang include Xiangao Xia, Bai Liu, Martin János Mayer, Chao Lyu, and Guoming Yang.

Representative recent publications by Dazhi Yang are:

  • "A review of solar forecasting, its dependence on atmospheric sciences and implications for grid integration: Towards carbon neutrality," 2022, Renewable and Sustainable Energy Reviews
  • "Verification of deterministic solar forecasts," 2020, Solar Energy
  • "Worldwide validation of 8 satellite-derived and reanalysis solar radiation products: A preliminary evaluation and overall metrics for hourly data over 27 years," 2020, Solar Energy
  • "Choice of clear-sky model in solar forecasting," 2020, Journal of Renewable and Sustainable Energy

Among the topics covered in these works are solar forecasting methodologies, evaluation of satellite-derived solar radiation data, and model selection for clear-sky irradiance prediction. Earlier work relevant to energy forecasting includes collaboration with Tao Hong on a review of energy forecasting published in 2020 in the IEEE Open Access Journal of Power and Energy.

Best Publications

  • Energy forecasting: A review and outlook

    Tao Hong;Pierre Pinson;Yi Wang;Rafał Weron

  • History and trends in solar irradiance and PV power forecasting: A preliminary assessment and review using text mining

    Dazhi Yang;Jan Kleissl;Christian A. Gueymard;Hugo T.C. Pedro

  • A review of solar forecasting, its dependence on atmospheric sciences and implications for grid integration: Towards carbon neutrality

    Unknown

  • Hourly solar irradiance time series forecasting using cloud cover index

    Dazhi Yang;Panida Jirutitijaroen;Wilfred M. Walsh

  • Worldwide validation of CAMS and MERRA-2 reanalysis aerosol optical depth products using 15 years of AERONET observations

    Christian A. Gueymard;Dazhi Yang

  • Automatic hourly solar forecasting using machine learning models

    Gokhan Mert Yagli;Dazhi Yang;Dipti Srinivasan

  • Solar radiation on inclined surfaces: Corrections and benchmarks

    Dazhi Yang

  • Short-term solar irradiance forecasting using exponential smoothing state space model

    Zibo Dong;Dazhi Yang;Thomas Reindl;Wilfred M. Walsh

  • Verification of deterministic solar forecasts

    Dazhi Yang;Stefano Alessandrini;Javier Antonanzas;Fernando Antonanzas-Torres

  • Short term solar irradiance forecasting using a mixed wavelet neural network

    Vishal Sharma;Dazhi Yang;Wilfred Walsh;Thomas Reindl

  • Worldwide validation of 8 satellite-derived and reanalysis solar radiation products: A preliminary evaluation and overall metrics for hourly data over 27 years

    Dazhi Yang;Jamie M. Bright

  • Forecasting of global horizontal irradiance by exponential smoothing, using decompositions

    Dazhi Yang;Vishal Sharma;Zhen Ye;Li Hong Idris Lim

  • Solar irradiance forecasting using spatial-temporal covariance structures and time-forward kriging

    Dazhi Yang;Chaojun Gu;Zibo Dong;Panida Jirutitijaroen

  • Very short term irradiance forecasting using the lasso

    Dazhi Yang;Zhen Ye;Li Hong Idris Lim;Zibo Dong

  • Optimal Orientation and Tilt Angle for Maximizing in-Plane Solar Irradiation for PV Applications in Singapore

    Yong Sheng Khoo;Andre Nobre;Raghav Malhotra;Dazhi Yang

  • A guideline to solar forecasting research practice: Reproducible, operational, probabilistic or physically-based, ensemble, and skill (ROPES)

    Dazhi Yang

  • A novel hybrid approach based on self-organizing maps, support vector regression and particle swarm optimization to forecast solar irradiance

    Zibo Dong;Dazhi Yang;Thomas Reindl;Wilfred M. Walsh

  • A Siting and Sizing Optimization Approach for PV–Battery–Diesel Hybrid Systems

    Carlos D. Rodriguez-Gallegos;Oktoviano Gandhi;Dazhi Yang;Manuel S. Alvarez-Alvarado

  • A Linear Identification of Diode Models from Single $I$ – $V$ Characteristics of PV Panels

    Li Hong Idris Lim;Zhen Ye;Jiaying Ye;Dazhi Yang

  • Satellite image analysis and a hybrid ESSS/ANN model to forecast solar irradiance in the tropics

    Zibo Dong;Dazhi Yang;Thomas Reindl;Wilfred M. Walsh

  • Very short-term irradiance forecasting at unobserved locations using spatio-temporal kriging

    Aloysius W. Aryaputera;Dazhi Yang;Lu Zhao;Wilfred M. Walsh

Frequent Co-Authors

Thomas Reindl
Thomas Reindl National University of Singapore
Dipti Srinivasan
Dipti Srinivasan National University of Singapore
Christian A. Gueymard
Christian A. Gueymard University of Central Florida
Ricardo Rüther
Ricardo Rüther Universidade Federal de Santa Catarina
Jan Kleissl
Jan Kleissl University of California, San Diego
Jie Zhang
Jie Zhang The University of Texas at Dallas
Sanjib Kumar Panda
Sanjib Kumar Panda National University of Singapore
Hamidreza Zareipour
Hamidreza Zareipour University of Calgary
Bri-Mathias Hodge
Bri-Mathias Hodge University of Colorado Boulder
Armin G. Aberle
Armin G. Aberle National University of Singapore

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