Power Load Forecast Based on Fuzzy BP Neural Networks with Dynamical Estimation of Weights
Sign Up to like & getrecommendations! Published in 2020 at "International Journal of Fuzzy Systems"
DOI: 10.1007/s40815-019-00796-7
Abstract: The short-term power load forecast is deeply studied by integrating fuzzy BP neural networks and composite adaptive filtering in this paper. Due to the difficulty on accurate modeling of complex factors in smart grid, the… read more here.
Keywords: load forecast; neural networks; power load; power ... See more keywords
Modeling load forecast uncertainty using generative adversarial networks
Sign Up to like & getrecommendations! Published in 2020 at "Electric Power Systems Research"
DOI: 10.1016/j.epsr.2020.106732
Abstract: Abstract The integration of distributed energy resources (DER) increase the uncertainty of the load. Probabilistic load forecasting (PLF) is able to model these uncertainties in the form of quantile, interval, or density. However, the uncertainties… read more here.
Keywords: generative adversarial; uncertainty; forecast uncertainty; load forecast ... See more keywords
Probabilistic Revenue Analysis of Microgrid Considering Source-Load and Forecast Uncertainties
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2021.3139805
Abstract: Due to the randomness of load and renewable energy generation (REG), microgrids face multiple uncertainties. These uncertainties lead to the uncertainty of microgrid operation and bring more challenges to the economic evaluation of microgrids. In… read more here.
Keywords: revenue; source load; revenue analysis; probabilistic revenue ... See more keywords