A Novel Forecasting Method Based on F-Transform and Fuzzy Time Series
Sign Up to like & getrecommendations! Published in 2017 at "International Journal of Fuzzy Systems"
DOI: 10.1007/s40815-017-0354-6
Abstract: The main goal of time series analysis is to establish forecasting model based on past observations and to reduce forecasting error. To achieve these goals, the present paper proposes a new forecasting algorithm based on… read more here.
Keywords: novel forecasting; forecasting method; transform fuzzy; time series ... See more keywords
Online probabilistic forecasting method for trapezoidal photovoltaic stream data
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Power Electronics"
DOI: 10.1007/s43236-021-00302-z
Abstract: For the probabilistic forecasting of photovoltaic generation, the design of a feasible online predictive framework is a challenging problem. To deal with this issue, an ensemble dynamic OS-ELM based on quantile estimation has been proposed.… read more here.
Keywords: online probabilistic; forecasting method; probabilistic forecasting; photovoltaic ... See more keywords
A generally applicable, simple and adaptive forecasting method for the short-term heat load of consumers
Sign Up to like & getrecommendations! Published in 2019 at "Applied Energy"
DOI: 10.1016/j.apenergy.2019.03.012
Abstract: Abstract Energy management systems aiming for an efficient operation of hybrid energy systems with a high share of different renewable energy sources strongly benefit from short-term forecasts for the heat-load. The forecasting methods available in… read more here.
Keywords: energy; forecasting method; heat load;
Industrial Power Load Forecasting Method Based on Reinforcement Learning and PSO-LSSVM.
Sign Up to like & getrecommendations! Published in 2020 at "IEEE transactions on cybernetics"
DOI: 10.1109/tcyb.2020.2983871
Abstract: Influenced by many complex factors, it is very difficult to obtain high-performance industrial power load forecasting. The industrial power load forecasting is deeply studied by fusing some machine-learning methods for industrial enterprise power consumers. As… read more here.
Keywords: load forecasting; industrial power; forecasting method; load ... See more keywords