PSF - Forecasting of univariate time series using the Pattern Sequence-based Forecasting (PSF) algorithm
Pattern Sequence Based Forecasting (PSF) takes univariate time series data as input and assist to forecast its future values. This algorithm forecasts the behavior of time series based on similarity of pattern sequences. Initially, clustering is done with the labeling of samples from database. The labels associated with samples are then used for forecasting the future behaviour of time series data. The further technical details and references regarding PSF are discussed in Vignette.
Last updated 8 years ago
6.83 score 16 stars 2 packages 28 scripts 343 downloadsVedicDateTime - Vedic Calendar System
Provides platform for Vedic calendar system having several functionalities to facilitate conversion between Gregorian and Vedic calendar systems, and helpful in examining its impact in the time series analysis domain.
Last updated 1 years ago
calendarpanchangatime-seriesvedic
5.84 score 6 stars 58 scripts 291 downloadsimputeTestbench - Test Bench for the Comparison of Imputation Methods
Provides a test bench for the comparison of missing data imputation methods in uni-variate time series. Imputation methods are compared using different error metrics. Proposed imputation methods and alternative error metrics can be used.
Last updated 7 years ago
5.15 score 5 stars 2 packages 20 scripts 4.7k downloadsJaya - Jaya, a Gradient-Free Optimization Algorithm
Maximization or Minimization of a fitness function using Jaya Algorithm (JA). A population based method which repeatedly modifies a population of individual solutions. Capable of solving both constrained and unconstrained optimization problems. It does not contain any hyperparameters. For further details: R.V. Rao (2016) <doi:10.5267/j.ijiec.2015.8.004> .
Last updated 5 years ago
3.48 score 3 scripts 119 downloadsForecastTB - Test Bench for the Comparison of Forecast Methods
Provides a test bench for the comparison of forecasting methods in uni-variate time series. Forecasting methods are compared using different error metrics. Proposed forecasting methods and alternative error metrics can be used. Detailed discussion is provided in the vignette.
Last updated 5 years ago
3.00 score 5 scripts 160 downloadsdecomposedPSF - Time Series Prediction with PSF and Decomposition Methods (EMD and EEMD)
Predict future values with hybrid combinations of Pattern Sequence based Forecasting (PSF), Autoregressive Integrated Moving Average (ARIMA), Empirical Mode Decomposition (EMD) and Ensemble Empirical Mode Decomposition (EEMD) methods based hybrid methods.
Last updated 3 years ago
2.56 score 1 packages 12 scripts 192 downloadsWindCurves - Tool to Fit Wind Turbine Power Curves
Provides a tool to fit and compare the wind turbine power curves with successful curve fitting techniques. Facilitates to examine and compare the performance of a user-defined power curve fitting techniques. Also, provide features to generate power curve discrete points from a graphical power curves. Data on the power curves of the wind turbine from major manufacturers are provided.
Last updated 3 years ago
2.00 score 9 scripts 146 downloads