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
Multi constellation GNSS precise point positioning and prediction of propagation errors using singular spectrum analysis
Sign Up to like & getrecommendations! Published in 2018 at "Astrophysics and Space Science"
DOI: 10.1007/s10509-018-3479-7
Abstract: The present paper investigates GPS, GLONASS, and Beidou observables from the Multi-GNSS Experiment (MGEX) network of stations in the East Asia region. Precise Point Positioning (PPP) estimates, Dilution of Precision (DOP), Slant Total Electron Content… read more here.
Keywords: analysis; precise point; singular spectrum; spectrum analysis ... See more keywords
Precipitation analysis and forecasting using singular spectrum analysis with artificial neural networks
Sign Up to like & getrecommendations! Published in 2018 at "Cluster Computing"
DOI: 10.1007/s10586-018-1713-2
Abstract: The temporal variability monthly precipitation time series for Korea is decomposed using singular spectrum analysis (SSA) to detect hidden periodicity information in the data, and to compare the forecasting performance of combining linear recurrent formulas… read more here.
Keywords: forecasting using; using singular; precipitation; analysis ... See more keywords
Singular spectrum analysis of GPS derived ionospheric TEC variations over Nepal during the low solar activity period
Sign Up to like & getrecommendations! Published in 2020 at "Acta Astronautica"
DOI: 10.1016/j.actaastro.2020.01.014
Abstract: Abstract Accurate modeling of ionospheric total electron content (TEC) is an important aspect for mitigating the threats of trans-ionospheric delay error in satellite communication, earth observation, space-based navigation, timing applications as well as space weather… read more here.
Keywords: solar activity; analysis; gps derived; low solar ... See more keywords
Regional sea level changes prediction integrated with singular spectrum analysis and long-short-term memory network
Sign Up to like & getrecommendations! Published in 2021 at "Advances in Space Research"
DOI: 10.1016/j.asr.2021.08.017
Abstract: Abstract In this paper, the China’s first global ocean Climate Data Records (CDRs) are used to analyze and predict the sea level changes in the Yellow Sea with obvious seasonal changes. Based on the singular… read more here.
Keywords: sea level; sea; singular spectrum; yellow sea ... See more keywords
Monthly forecasting of GDP with mixed-frequency multivariate singular spectrum analysis
Sign Up to like & getrecommendations! Published in 2019 at "International Journal of Forecasting"
DOI: 10.1016/j.ijforecast.2019.03.021
Abstract: The literature on mixed-frequency models is relatively recent and has found applications across economics and finance. The standard application in economics considers the use of (usually) monthly variables (e.g. industrial production) for predicting/fitting quarterly variables… read more here.
Keywords: singular spectrum; multivariate singular; frequency; spectrum analysis ... See more keywords
Multi-channel singular-spectrum analysis of financial cycles in ten developed economies for 1970–2018
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Business Research"
DOI: 10.1016/j.jbusres.2019.10.047
Abstract: Abstract We isolate and analyze financial cycles for ten selected economies based on quarterly time-series data from 1970 to 2018. Our study shows that a global financial cycle lasts nine years on average with long-memory… read more here.
Keywords: financial cycles; multi channel; singular spectrum; 1970 2018 ... See more keywords
Wind speed forecasting approach based on Singular Spectrum Analysis and Adaptive Neuro Fuzzy Inference System
Sign Up to like & getrecommendations! Published in 2017 at "Renewable Energy"
DOI: 10.1016/j.renene.2017.11.089
Abstract: Abstract As a promising renewable energy source, wind power has environmental benefits, as well as economic and social ones. Due these characteristics, wind farm has grown fast in the last five years, and in some… read more here.
Keywords: speed; singular spectrum; wind speed; spectrum analysis ... See more keywords
Smart wind speed deep learning based multi-step forecasting model using singular spectrum analysis, convolutional Gated Recurrent Unit network and Support Vector Regression
Sign Up to like & getrecommendations! Published in 2019 at "Renewable Energy"
DOI: 10.1016/j.renene.2019.05.039
Abstract: Abstract Wind speed forecasting can effectively improve the safety and reliability of wind energy generation system. In this study, a novel hybrid short-term wind speed forecasting model is proposed based on the SSA (Singular Spectrum… read more here.
Keywords: singular spectrum; spectrum analysis; model; forecasting model ... See more keywords
Fast auditory evoked potential extraction with real-time singular spectrum analysis
Sign Up to like & getrecommendations! Published in 2017 at "Electronics Letters"
DOI: 10.1049/el.2017.1425
Abstract: The fast and real-time extraction of precise auditory evoked potential (AEP) is important for the diagnosis of auditory diseases as well as for the brain–computer interface. For fast AEP extraction, the effect of various noises… read more here.
Keywords: extraction; real time; evoked potential; time ... See more keywords
Hybrid model combining empirical mode decomposition, singular spectrum analysis, and least squares for satellite-derived sea-level anomaly prediction
Sign Up to like & getrecommendations! Published in 2019 at "International Journal of Remote Sensing"
DOI: 10.1080/01431161.2019.1606959
Abstract: ABSTRACT In this study, to meet the need for the accurate prediction of sea level anomaly (SLA), a hybrid model is proposed. In this model, empirical mode decomposition is combined with singular spectrum analysis and… read more here.
Keywords: model; singular spectrum; empirical mode; mode decomposition ... See more keywords