Results 121 to 130 of about 23,189,989 (210)
AVERAGE MONTHLY TEMPERATURE FORECAST IN ROMANIA BY USING SINGULAR SPECTRUM ANALYSIS [PDF]
Singular spectrum analysis (SSA) is one of the relatively recent time series analysis method which does not require a-priori assumption of a particular model.
MARINOIU CRISTIAN
doaj
Penelitian ini bertujuan untuk meramalkan produksi padi di Provinsi Sulawesi Tenggara menggunakan metode Singular Spectrum Analysis (SSA) dan membandingkannya dengan metode Autoregressive Integrated Moving Average (ARIMA). Data produksi padi di Provinsi Sulawesi Tenggara dari tahun 2018 hingga 2021 dijadikan dasar untuk peramalan tahun 2022. Metode SSA
null Ega Sarmita +5 more
openaire +1 more source
Multifrequency singular spectrum analysis
Summary Singular spectrum analysis (SSA) is a method utilized for the analysis of time series arising from dynamical systems. The method is used to capture oscillations from a given time series via the analysis of the eigenspectra of the so-called ...
Mauricio D Sacchi
core
Efficient solar power generation forecasting for greenhouses: A hybrid deep learning approach
In this research paper, we propose a novel hybrid deep learning approach, SSA-CNN-LSTM, for forecasting solar power generation. The approach combines Singular Spectrum Analysis (SSA), Convolutional Neural Networks (CNNs), and Long Short-Term Memory (LSTM)
Divyadharshini Venkateswaran +1 more
doaj +1 more source
Singular spectrum analysis: methodology and application to economics data
This paper describes the methodology of singular spectrum analysis (SSA) and demonstrate that it is a powerful method of time series analysis and forecasting, particulary for economic time series.
Hassani, Hossein +1 more
core +1 more source
This study discusses a hybrid model of Singular Spectrum Analysis (SSA) with Autoregressive Integrated Moving Average (ARIMA) and Fuzzy Time Series (FTS) for forecasting the Indonesian Crude Price (ICP).
Etik Zukhronah +2 more
doaj +1 more source
Singular Spectrum Analysis of Sleep EEG in Insomnia
https://pubmed.ncbi.nlm.nih.gov/20703545/https://link.springer.com/article/10.1007%2Fs10916-009-9381-7 ABSTRACTIn the present study,the Singular Spectrum Analysis (SSA) is applied to sleep EEG segments collectedfrom healthy volunteers and patients ...
Kara, Sadik +2 more
core +1 more source
Polynomial-exponential 2D data models, Hankel-block-Hankel matrices and zero-dimensional ideals
Subspace-based methods are popular for analysis of two-dimensional data that can be modeled by sums of polynomially modulated exponential (or “polynomial-exponential”) functions.
Usevich, Konstantin
core +1 more source
To tackle the intricate challenges of nonlinearity and non-stationarity in lead-acid battery degradation data, this paper introduces the SG-LSTM model, an innovative approach to battery health prediction.
Chengti Huang +3 more
doaj +1 more source
Electricity consumption forecasting using singular spectrum analysis
Singular Spectrum Analysis (SSA) is a non-parametric technique that allows the decomposition of a time series into signal and noise. Thus, it is a useful technique to trend extraction, smooth and filter a time series.
Moreira Pessanha, José Francisco +2 more
core +1 more source

