Image phase shift invariance based cloud motion displacement vector calculation method for ultra-short-term solar PV power forecasting
Sign Up to like & getrecommendations! Published in 2018 at "Energy Conversion and Management"
DOI: 10.1016/j.enconman.2017.11.080
Abstract: Abstract Irradiance received on the earth’s surface is the main factor that affects the output power of solar PV plants, and is chiefly determined by the cloud distribution seen in a ground-based sky image at… read more here.
Keywords: image; calculation; method; power ... See more keywords
Taxonomy research of artificial intelligence for deterministic solar power forecasting
Sign Up to like & getrecommendations! Published in 2020 at "Energy Conversion and Management"
DOI: 10.1016/j.enconman.2020.112909
Abstract: Abstract With the world-wide deployment of solar energy for a sustainable and renewable future, the stochastic and volatile nature of solar power pose significant challenges to the reliable, economic and secure operation of electrical energy… read more here.
Keywords: power forecasting; power; artificial intelligence; solar power ... See more keywords
An improved residual-based convolutional neural network for very short-term wind power forecasting
Sign Up to like & getrecommendations! Published in 2021 at "Energy Conversion and Management"
DOI: 10.1016/j.enconman.2020.113731
Abstract: Abstract An accurate forecast of wind power is very important in terms of economic dispatch and the operation of power systems. However, effectively mitigating the risks arising from wind power in power system operations greatly… read more here.
Keywords: wind power; improved residual; power forecasting; power ... See more keywords
Wind Power Forecasting
Sign Up to like & getrecommendations! Published in 2018 at "IFAC-PapersOnLine"
DOI: 10.1016/j.ifacol.2018.11.738
Abstract: Abstract Accurate short-term wind power forecast is very important for reliable and efficient operation of power systems with high wind power penetration. There are many conventional and artificial intelligence methods that have been developed to… read more here.
Keywords: wind power; short term; power forecasting; power ... See more keywords
A comparative study on short-term PV power forecasting using decomposition based optimized extreme learning machine algorithm
Sign Up to like & getrecommendations! Published in 2020 at "Engineering Science and Technology, an International Journal"
DOI: 10.1016/j.jestch.2019.03.006
Abstract: Abstract Solar irradiance fluctuates within a very short period of time that creates a lot of hindrances to estimate the injection of output power into the grid. During the operation of solar power plant, short-term… read more here.
Keywords: power forecasting; decomposition; power; short term ... See more keywords
A hybrid wind power forecasting approach based on Bayesian model averaging and ensemble learning
Sign Up to like & getrecommendations! Published in 2020 at "Renewable Energy"
DOI: 10.1016/j.renene.2019.07.166
Abstract: Abstract In this paper, a hybrid wind power forecasting approach based on Bayesian model averaging and Ensemble learning (BMA-EL) is proposed. Firstly, SOM clustering and K-fold cross-validation are used to generate multiple sets of the… read more here.
Keywords: power forecasting; power; model; base ... See more keywords
Power forecasting-based coordination dispatch of PV power generation and electric vehicles charging in microgrid
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DOI: 10.1016/j.renene.2020.03.169
Abstract: We propose herein an extended power forecasting-based coordination dispatch method for PV power generation microgrid with plug-in EVs (PVEVM) to improve the local consumption of renewable energy in the microgrid by guiding electric vehicle (EV)… read more here.
Keywords: power forecasting; power; coordination dispatch; power generation ... See more keywords
Wind power forecasting – A data-driven method along with gated recurrent neural network
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DOI: 10.1016/j.renene.2020.10.119
Abstract: Abstract Effective wind power prediction will facilitate the world’s long-term goal in sustainable development. However, a drawback of wind as an energy source lies in its high variability, resulting in a challenging study in wind… read more here.
Keywords: wind; gated recurrent; data driven; power forecasting ... See more keywords
Short term solar power forecasting using hybrid minimum variance expanded RVFLN and Sine-Cosine Levy Flight PSO algorithm
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DOI: 10.1016/j.renene.2021.04.088
Abstract: Abstract With the increase in solar power integration, the necessity for accurate solar power forecasting is of paramount importance for various energy markets, grid management system, power dispatching and so on. This paper analyses a… read more here.
Keywords: power forecasting; sine cosine; power; solar power ... See more keywords
Power forecasting of three silicon-based PV technologies using actual field measurements
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DOI: 10.1016/j.seta.2020.100915
Abstract: Abstract This work focuses on short-term photovoltaic (PV) power forecasting each 5 min of the following day of a 5.94 kWp grid-connected PV plant located in Safi, Morocco. The PV system is composed of three silicon technologies:… read more here.
Keywords: field measurements; power forecasting; three silicon;
Comparative study of data-driven short-term wind power forecasting approaches for the Norwegian Arctic region
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Renewable and Sustainable Energy"
DOI: 10.1063/5.0038429
Abstract: This paper conducts a systemic comparative study on univariate and multivariate wind power forecasting for five wind farms inside the Arctic area. The development of wind power in the Arctic can help reduce greenhouse gas… read more here.
Keywords: wind power; power forecasting; study; power ... See more keywords