Link traffic speed forecasting using convolutional attention-based gated recurrent unit
Sign Up to like & getrecommendations! Published in 2021 at "Applied Intelligence"
DOI: 10.1007/s10489-020-02020-8
Abstract: Traffic speed forecasting becomes a thriving research area in modern transportation systems. The intensification of travel flow volumes due to fast urbanization, vehicle path planning, demands on efficient transport planning policies, commercial objectives, and many… read more here.
Keywords: traffic; network; traffic speed; speed ... See more keywords
A novel wind speed forecasting system based on hybrid data preprocessing and multi-objective optimization
Sign Up to like & getrecommendations! Published in 2018 at "Applied Energy"
DOI: 10.1016/j.apenergy.2018.09.012
Abstract: Abstract Wind speed forecasting is an important task in large-scale wind power integration that can eliminate the harmful influence caused by its inherent intermittence and volatility. To achieve high-precision wind speed forecasting, hybrid systems that… read more here.
Keywords: system; data preprocessing; wind speed; speed forecasting ... See more keywords
A hybrid forecasting system based on fuzzy time series and multi-objective optimization for wind speed forecasting
Sign Up to like & getrecommendations! Published in 2019 at "Applied Energy"
DOI: 10.1016/j.apenergy.2018.11.012
Abstract: Abstract Wind speed forecasting is fundamental to the dispatching, controllability, and stability of the power grid. As a challenging but essential work, wind speed forecasting has attracted significant attention from researchers and managers. However, traditional… read more here.
Keywords: system; hybrid forecasting; speed forecasting; wind speed ... See more keywords
Composite quantile regression extreme learning machine with feature selection for short-term wind speed forecasting: A new approach
Sign Up to like & getrecommendations! Published in 2017 at "Energy Conversion and Management"
DOI: 10.1016/j.enconman.2017.09.029
Abstract: Abstract With the growing wind penetration of wind resources into power generation worldwide, accurate and comprehensive wind speed forecasting (WSF) is becoming increasingly significant to ensure continuously economical and reliable power system operations. In this… read more here.
Keywords: speed; speed forecasting; wind speed; feature selection ... See more keywords
A nonlinear hybrid wind speed forecasting model using LSTM network, hysteretic ELM and Differential Evolution algorithm
Sign Up to like & getrecommendations! Published in 2018 at "Energy Conversion and Management"
DOI: 10.1016/j.enconman.2018.07.070
Abstract: Abstract Accurate and stable wind speed forecasting is essential for the planning, scheduling and control of wind energy generation and conversion in wind power industry. In this paper, a novel nonlinear hybrid model aiming at… read more here.
Keywords: network; model; wind speed; speed forecasting ... See more keywords
A novel combined model based on echo state network for multi-step ahead wind speed forecasting: A case study of NREL
Sign Up to like & getrecommendations! Published in 2019 at "Energy Conversion and Management"
DOI: 10.1016/j.enconman.2018.10.068
Abstract: Abstract Accurate wind speed forecasting plays a crucial role in wind power plants and wind systems. Numerous studies that dedicated to enhance wind speed forecasting accuracy have been proposed. Nevertheless, some classical models are not… read more here.
Keywords: wind speed; speed forecasting; combined model;
Research and application of a combined model based on multi-objective optimization for multi-step ahead wind speed forecasting
Sign Up to like & getrecommendations! Published in 2017 at "Energy"
DOI: 10.1016/j.energy.2017.02.150
Abstract: Wind speed forecasting plays a vital role in power system management, planning and integration. In previous studies, most forecasting models have focused on improving the accuracy or stability of wind speed forecasting. However, for an… read more here.
Keywords: multi objective; model; combined model; wind speed ... See more keywords
An adaptive hybrid model for short term wind speed forecasting
Sign Up to like & getrecommendations! Published in 2020 at "Energy"
DOI: 10.1016/j.energy.2019.06.132
Abstract: Abstract Accurate wind speed forecasting is useful for large-scale wind power integration, which can reduce the adverse effects of wind power on the power grid. However, due to the randomness and uncertainty of wind speed,… read more here.
Keywords: speed forecasting; model; wind speed; adaptive hybrid ... See more keywords
Short-term wind speed forecasting in Uruguay using computational intelligence
Sign Up to like & getrecommendations! Published in 2019 at "Heliyon"
DOI: 10.1016/j.heliyon.2019.e01664
Abstract: Short-term wind speed forecasting for Colonia Eulacio, Soriano Department, Uruguay, is performed by applying an artificial neural network (ANN) technique to the hourly time series representative of the site. To train the ANN and validate… read more here.
Keywords: term wind; speed forecasting; short term; wind speed ... See more keywords
Multi-step ahead wind speed forecasting using an improved wavelet neural network combining variational mode decomposition and phase space reconstruction
Sign Up to like & getrecommendations! Published in 2017 at "Renewable Energy"
DOI: 10.1016/j.renene.2017.06.095
Abstract: Accurate wind speed forecasting is crucial to reliable and secure power generation system. However, the intermittent and unstable nature of wind speed makes it very difficult to be predicted accurately. This paper proposes a novel… read more here.
Keywords: speed; model; wind speed; speed forecasting ... See more keywords
Research and application of a combined model based on variable weight for short term wind speed forecasting
Sign Up to like & getrecommendations! Published in 2018 at "Renewable Energy"
DOI: 10.1016/j.renene.2017.09.089
Abstract: Abstract Wind speed forecasting plays a prominent part in the operation of wind power plants and power systems. However, it is often difficult to obtain satisfactory prediction results because wind speed data comprise random nonlinear… read more here.
Keywords: combined model; speed forecasting; model; wind speed ... See more keywords