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Indian natural rubber price forecast–An Autoregressive Integrated Moving Average (ARIMA) approach
The Indian Journal of Agricultural Sciences, 2022 The objective of this study was to forecast the price of natural rubber in India during April 2019 to March 2020 by employing autoregressive integrated moving average (ARIMA).
SHYJU MATHEW, RAMASAMY MURUGESAN
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Comparative analysis on forecasting methods and how to choose a suitable one: case study in financial time series [PDF]
Mathematics and Modeling in Finance, 2023 Forecasting in the financial markets is vital for informed decision-making, risk management, efficient capital allocation, asset valuation, and economic stability. This study thoroughly examines forecasting techniques to predict the 30-day closing prices
Mahdi Goldani
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Load Forecasting Techniques for Power System: Research Challenges and Survey
IEEE Access, 2022 The main and pivot part of electric companies is the load forecasting. Decision-makers and think tank of power sectors should forecast the future need of electricity with large accuracy and small error to give uninterrupted and free of load shedding ...
Naqash Ahmad +3 more
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Using the Mean Absolute Percentage Error for Regression Models [PDF]
CoRR, 2015 We study in this paper the consequences of using the Mean Absolute Percentage Error (MAPE) as a measure of quality for regression models. We show that finding the best model under the MAPE is equivalent to doing weighted Mean Absolute Error (MAE) regression.
de Myttenaere, Arnaud +3 more
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Mathematics, 2023 Prediction of the infectious disease is a potential research area from the decades. With the progress in medical science, early anticipation of the disease spread becomes more meaningful when the resources are limited. Also spread prediction with limited
Shalini Shekhawat +3 more
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, 2023 Mean absolute error (MAE), R squared, root mean squared error (RMSE), symmetric mean absolute percentage error (SMAPE) for train, test & validation data.
Swapnashree Satapathy (15426889) +9 more
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Metode Double Exponential Smoothing pada Sistem Peramalan Tingkat Kemiskinan Kabupaten Pangkep
Ilkom Jurnal Ilmiah, 2020 Peramalan adalah kegiatan memperkirakan kejadian yang akan terjadi berdasarkan historical data kuantitatif suatu kejadian. Peramalan sering digunakan oleh pemerintah dalam membuat suatu kebijakan.
Nur Almar' Atussaliha +2 more
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Jurnal Serambi Engineering, 2022 PT. Nesinak Industries is a company which focuses on the manufacturing process of an electronic component as well as automotive components (vehicle). In business activities, such as production, a strategy is required to survive in competition.
Muhammad Hafidh Kurniawan, Dene Herwanto
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Case Studies in Thermal Engineering, 2023 Due to the complexity and changeable of lithium-ion batteries, we propose a multi-variable and multi-step Temporal neural network to cover this task. Specially, a novel multi-step training strategy is applied to deal with long time sequences, and multi ...
Yufeng Huang, Jian Sun, Lei Xu
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, 2023 Weighted Mean Absolute Percentage Error (WMAPE) in respect of time series data for various types of calls for ambulance services in the validation phase.
Pavithra M.R. (17020629) +5 more
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