A whale optimization algorithm-based multivariate exponential smoothing grey-holt model for electricity price forecasting
FE Sapnken, AK Tazehkandgheshlagh… - Expert Systems with …, 2024 - Elsevier
Accurately forecasting electricity prices is essential for a variety of stakeholders in the energy
sector, including market investors, policymakers, and consumers. However, existing …
sector, including market investors, policymakers, and consumers. However, existing …
Leveraging hybrid deep learning models for enhanced multivariate time series forecasting
Time series forecasting is crucial in various domains, ranging from finance and economics to
weather prediction and supply chain management. Traditional statistical methods and …
weather prediction and supply chain management. Traditional statistical methods and …
Predicting housing prices in China based on modified Holt's exponential smoothing incorporating whale optimization algorithm
L Liu, L Wu - Socio-Economic Planning Sciences, 2020 - Elsevier
The forecast of the real estate market is an important part of studying the Chinese economic
market. Most existing methods have strict requirements on input variables and are complex …
market. Most existing methods have strict requirements on input variables and are complex …
A new explainable robust high-order intuitionistic fuzzy time-series method
Fuzzy time series, based on type-1 fuzzy sets, continue to have a wide range of use in the
literature. These methods use only membership values to determine the fuzzy relations …
literature. These methods use only membership values to determine the fuzzy relations …
Comparison of forecast accuracy of Ata and exponential smoothing
B Cetin, I Yavuz - Journal of Applied Statistics, 2021 - Taylor & Francis
Forecasting is a crucial step in almost all scientific research and is essential in many areas
of industrial, commercial, clinical and economic activity. There are many forecasting …
of industrial, commercial, clinical and economic activity. There are many forecasting …
Ata method's performance in the M4 competition
Like the previous M competitions, M4 competition resulted in great contributions to the field
of forecasting. Ata method which is a new forecasting method alternative to exponential …
of forecasting. Ata method which is a new forecasting method alternative to exponential …
A Dynamic Combination of Theta Method and ATA: Validating on a Real Business Case
Y Tadayonrad, AB Ndiaye - Engineering Proceedings, 2022 - mdpi.com
In order to make better decisions and take efficient actions in any supply chain system, we
need to have better estimation of uncertain parameters, especially the future demands of our …
need to have better estimation of uncertain parameters, especially the future demands of our …
Simple exponential smoothing and its control parameter: A reassessment
D Chaudhuri, M Mukherjee, MH Khondekar… - Recent Trends in Signal …, 2019 - Springer
Simple exponential smoothing (SES) is a popular form of smoothing which can be regarded
as a recursive system with infinite impulse response (IIR). As a consequence, it suffers …
as a recursive system with infinite impulse response (IIR). As a consequence, it suffers …
[PDF][PDF] Automatic Time Series Forecasting with Ata Method in R: ATAforecasting Package.
Ata method is a new univariate time series forecasting method that provides innovative
solutions to issues faced during the initialization and optimization stages of existing …
solutions to issues faced during the initialization and optimization stages of existing …
Comparison of Ata method and croston based methods on forecasting of intermittent demand
Intermittent demand forecasting is crucial for firms and commercial activities. Recently, many
researchers have focused on forecasting methods for intermittent demand and proposed …
researchers have focused on forecasting methods for intermittent demand and proposed …