Comparative optimization of global solar radiation forecasting using machine learning and time series models

Statistical and Machine Learning forecasting methods: Concerns and ways forward

Spyros Makridakis, Evangelos Spiliotis, Vassilios Assimakopoulos · PLoS ONE · 2018 · 1.3K citations · Full text

Forecasting Methodology, Probabilistic Forecasting, Engineering +13

The M4 Competition: 100,000 time series and 61 forecasting methods

Spyros Makridakis, Evangelos Spiliotis, Vassilios Assimakopoulos · International Journal of Forecasting · 2019 · 808 citations · Full text

Forecasting Methodology, Engineering, M4 Competition +17

Recommendations on statistics and benchmarks to assess photochemical model performance

C. Emery, Zhen Liu, Armistead G. Russell et al. · Journal of the Air & Waste Management Association · 2016 · 637 citations · Full text

Comparison of Support Vector Machine and Extreme Gradient Boosting for predicting daily global solar radiation using temperature and precipitation in humid subtropical climates: A case study in China

Junliang Fan, Xiukang Wang, Lifeng Wu et al. · Energy Conversion and Management · 2018 · 620 citations

Climatology, Meteorology, Support Vector Machine +13

Performance evaluation of 10 MW grid connected solar photovoltaic power plant in India

B. Shiva Kumar, K. Sudhakar · Energy Reports · 2015 · 547 citations · Full text

Electrical Engineering, Engineering, Smart Grid +13