Feasible study on full-scale delivered power prediction using CFD/EFD combination method
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Hydrodynamics"
DOI: 10.1007/s42241-019-0075-4
Abstract: Three-dimensional (3-D) power prediction method from model test has been widely accepted and used for many years. Form factor k is the most important characteristics of 3-D method and very crucial to the accurate power… read more here.
Keywords: delivered power; power prediction; method; power ... See more keywords
A combined multivariate model for wind power prediction
Sign Up to like & getrecommendations! Published in 2017 at "Energy Conversion and Management"
DOI: 10.1016/j.enconman.2017.04.077
Abstract: Abstract The intermittent and fluctuation of wind power has a harmful effect on power grid. To direct system operators to mitigate the harm, a combined multivariate model is proposed to improve wind power prediction accuracy.… read more here.
Keywords: wind power; model; power prediction; prediction ... See more keywords
EALSTM-QR: Interval wind-power prediction model based on numerical weather prediction and deep learning
Sign Up to like & getrecommendations! Published in 2021 at "Energy"
DOI: 10.1016/j.energy.2020.119692
Abstract: Abstract Effective wind-power prediction enhances the adaptability of a wind power system to the instability of wind power, which is beneficial for load and frequency regulation, helping to convert wind power to electricity and connect… read more here.
Keywords: wind power; numerical weather; power prediction; prediction ... See more keywords
Comparing results of a power prediction tool with measured data from a series of 35 boats
Sign Up to like & getrecommendations! Published in 2019 at "Ocean Engineering"
DOI: 10.1016/j.oceaneng.2018.12.076
Abstract: Abstract Power prediction is one of the major steps when it comes to design a military boat. Having a fast running and reliable tool to select the appropriate couple engine/propulsion permits to explore more hull's… read more here.
Keywords: power prediction; prediction tool; tool; series ... See more keywords
PV Power Prediction Based on LSTM With Adaptive Hyperparameter Adjustment
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2936597
Abstract: The randomness, volatility, and intermittence of solar power generation make it difficult to achieve the desired accuracy of PV output-power prediction. Therefore, the time learning weight (TLW) proposed in this paper is used to improve… read more here.
Keywords: based lstm; power; prediction; power prediction ... See more keywords
Learning Heterogeneous Features Jointly: A Deep End-to-End Framework for Multi-Step Short-Term Wind Power Prediction
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Sustainable Energy"
DOI: 10.1109/tste.2019.2940590
Abstract: Leveraging multiple heterogeneous measurements to predict wind power has long been a challenging task in the electrical community. In this paper, a deep architecture incorporated with multitask learning and multimodal learning for wind power prediction,… read more here.
Keywords: power prediction; prediction; end; wind power ... See more keywords
Development of Wind Power Prediction Models for Pawan Danavi Wind Farm in Sri Lanka
Sign Up to like & getrecommendations! Published in 2021 at "Mathematical Problems in Engineering"
DOI: 10.1155/2021/4893713
Abstract: This paper presents the development of wind power prediction models for a wind farm in Sri Lanka using an artificial neural network (ANN), multiple linear regression (MLR), and power regression (PR) techniques. Power generation data… read more here.
Keywords: wind; development wind; power prediction; power ... See more keywords
Wind turbine power prediction via deep neural network using hybrid approach
Sign Up to like & getrecommendations! Published in 2022 at "Proceedings of the Institution of Mechanical Engineers, Part A: Journal of Power and Energy"
DOI: 10.1177/09576509221125863
Abstract: Due to the chaotic nature of wind speed, short-term wind power prediction is a challengeable one. A reliable and accurate wind power prediction model is necessary for the wind turbine industry. Based on their improved… read more here.
Keywords: power prediction; deep neural; power; prediction ... See more keywords
A short-term photovoltaic power prediction model based on the gradient boost decision tree
Sign Up to like & getrecommendations! Published in 2018 at "Applied Sciences"
DOI: 10.3390/app8050689
Abstract: Due to the development of photovoltaic (PV) technology and the support from governments across the world, the conversion efficiency of solar energy has been improved. However, the PV power output is influenced by environment factors,… read more here.
Keywords: model based; power prediction; power; gradient boost ... See more keywords
An Adaptive Hybrid Model for Wind Power Prediction Based on the IVMD-FE-Ad-Informer
Sign Up to like & getrecommendations! Published in 2023 at "Entropy"
DOI: 10.3390/e25040647
Abstract: Accurate wind power prediction can increase the utilization rate of wind power generation and maintain the stability of the power system. At present, a large number of wind power prediction studies are based on the… read more here.
Keywords: power prediction; wind power; power; model ... See more keywords