Long short-term memory-singular spectrum analysis-based model for electric load forecasting
Sign Up to like & getrecommendations! Published in 2020 at "Electrical Engineering"
DOI: 10.1007/s00202-020-01135-y
Abstract: Electrical load forecasting is a key player in building sustainable power systems and helps in efficient system planning. However, the irregular and noisy behavior in the observed data makes it difficult to achieve better forecasting… read more here.
Keywords: spectrum analysis; model; load forecasting; singular spectrum ... See more keywords
Convolutional residual network to short-term load forecasting
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DOI: 10.1007/s10489-020-01932-9
Abstract: Since their inception, convolutional neural networks (CNNs) have been shown to have powerful feature extraction and learning capabilities, and the creation of deep residual networks (DRNs) was a milestone in the development of CNNs. However,… read more here.
Keywords: network; load forecasting; term load; load ... See more keywords
Short-term load forecasting with clustering–regression model in distributed cluster
Sign Up to like & getrecommendations! Published in 2017 at "Cluster Computing"
DOI: 10.1007/s10586-017-1198-4
Abstract: This paper tackles a new challenge in power big data: how to improve the precision of short-term load forecasting with large-scale data set. The proposed load forecasting method is based on Spark platform and “clustering–regression”… read more here.
Keywords: load forecasting; load; regression model; clustering regression ... See more keywords
Electric load forecasting by complete ensemble empirical mode decomposition adaptive noise and support vector regression with quantum-based dragonfly algorithm
Sign Up to like & getrecommendations! Published in 2019 at "Nonlinear Dynamics"
DOI: 10.1007/s11071-019-05252-7
Abstract: Accurate electric load forecasting can provide critical support to makers of energy policy and managers of power systems. The support vector regression (SVR) model can be hybridized with novel meta-heuristic algorithms not only to identify… read more here.
Keywords: electric load; model; load forecasting; support vector ... See more keywords
Deep belief ensemble network based on MOEA/D for short-term load forecasting
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DOI: 10.1007/s11071-021-06742-3
Abstract: While the demand for quality power supply is increasing, the traditional power grid cannot meet with the users’ demand. Smart grid has become a new solution to quality power supply for its improved information sharing… read more here.
Keywords: network based; load forecasting; network; deep belief ... See more keywords
Short-term electrical load forecasting method based on stacked auto-encoding and GRU neural network
Sign Up to like & getrecommendations! Published in 2019 at "Evolutionary Intelligence"
DOI: 10.1007/s12065-018-00196-0
Abstract: With the rapid development of smart grid, to solve the power enterprises’ requirement in short-term load forecasting, this paper proposes a short-term electrical load forecasting method based on stacked auto-encoding and GRU (Gated recurrent unit)… read more here.
Keywords: method; load forecasting; load; short term ... See more keywords
Ultrasonic Power Load Forecasting Based on BP Neural Network
Sign Up to like & getrecommendations! Published in 2019 at "Journal of The Institution of Engineers (India): Series C"
DOI: 10.1007/s40032-019-00549-3
Abstract: The use of power load forecasting in aluminum alloy ultrasonic-assisted casting systems can improve its working efficiency and stability and simultaneously improve the casting quality of the aluminum alloy as well. A power load forecasting… read more here.
Keywords: load forecasting; ultrasonic power; power; power supply ... See more keywords
Long-term system load forecasting based on data-driven linear clustering method
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Modern Power Systems and Clean Energy"
DOI: 10.1007/s40565-017-0288-x
Abstract: In this paper, a data-driven linear clustering (DLC) method is proposed to solve the long-term system load forecasting problem caused by load fluctuation in some developed cities. A large substation load dataset with annual interval… read more here.
Keywords: linear clustering; load forecasting; system load; method ... See more keywords
Short-term residential load forecasting: Impact of calendar effects and forecast granularity
Sign Up to like & getrecommendations! Published in 2017 at "Applied Energy"
DOI: 10.1016/j.apenergy.2017.07.114
Abstract: Abstract Literature is rich in methodologies for “aggregated” load forecasting which has helped electricity network operators and retailers in optimal planning and scheduling. The recent increase in the uptake of distributed generation and storage systems… read more here.
Keywords: calendar effects; load; load forecasting; forecast granularity ... See more keywords
Short-term electrical load forecasting based on error correction using dynamic mode decomposition
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DOI: 10.1016/j.apenergy.2019.114368
Abstract: Accurate short-term load forecasting (STLF) is an important basis for daily dispatching of the power grid, but the non-stationary characteristics of the load series add to the challenge of this task. Many researchers have been… read more here.
Keywords: error; short term; load forecasting; error correction ... See more keywords
Day-ahead city natural gas load forecasting based on decomposition-fusion technique and diversified ensemble learning model
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DOI: 10.1016/j.apenergy.2021.117623
Abstract: Abstract Accompanying the trend of low-carbon energy consumption, natural gas has ushered in the energy transition era’s development. However, rapid growth has thrown off the balance of urban natural gas supply and demand, resulting in… read more here.
Keywords: gas; decomposition fusion; load forecasting; model ... See more keywords