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
6.85 score 17 stars 2 dependents 28 scripts 384 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 309 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 8 years ago
4.91 score 5 stars 2 dependents 20 scripts 2.7k downloadsJaya - Gradient-Free Optimization Algorithm for Single and Multi-Objective Problems
An implementation of the Jaya optimization algorithm for both single-objective and multi-objective problems. Jaya is a population-based, gradient-free optimization algorithm capable of solving constrained and unconstrained optimization problems without hyperparameters. This package includes features such as multi-objective Pareto optimization, adaptive population adjustment, and early stopping. For further details, see R.V. Rao (2016) <doi:10.5267/j.ijiec.2015.8.004>.
Last updated 3 months ago
3.48 score 1 stars 5 scripts 520 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 6 scripts 207 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 dependents 12 scripts 226 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 173 downloads