Day-ahead photovoltaic power production forecasting methodology based on machine learning and statistical post-processing
Sign Up to like & getrecommendations! Published in 2020 at "Applied Energy"
DOI: 10.1016/j.apenergy.2020.115023
Abstract: Abstract A main challenge towards ensuring large-scale and seamless integration of photovoltaic systems is to improve the accuracy of energy yield forecasts, especially in grid areas of high photovoltaic shares. The scope of this paper… read more here.
Keywords: methodology; machine learning; ahead photovoltaic; day ahead ... See more keywords
Forecasting and uncertainty analysis of day-ahead photovoltaic power using a novel forecasting method
Sign Up to like & getrecommendations! Published in 2021 at "Applied Energy"
DOI: 10.1016/j.apenergy.2021.117291
Abstract: Abstract The primary means to promote grid-connected photovoltaic power generation is through accurately forecasting the power output from photovoltaic power stations. This paper proposes a method for day-ahead photovoltaic power forecasting (PPF) and uncertainty analysis… read more here.
Keywords: ahead photovoltaic; lssvm; power; photovoltaic power ... See more keywords