Results 11 to 20 of about 874,374 (290)

Load Forecasting Techniques for Power System: Research Challenges and Survey

open access: yesIEEE 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
doaj   +1 more source

Analysis of time series for Malaysian currency exchange rate to the United States currency [PDF]

open access: yes, 2021
Currency exchange rate is one of the external factors that will affect the financial status of Malaysia. Therefore, forecasting the foreign currency exchange rate is important for the financial decision makers, bankers, academic researchers and business ...
Che Him, Norziha   +4 more
core   +1 more source

Prediction of Infectious Disease to Reduce the Computation Stress on Medical and Health Care Facilitators

open access: yesMathematics, 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
doaj   +1 more source

Tibial acceleration-based prediction of maximal vertical loading rate during overground running : a machine learning approach [PDF]

open access: yes, 2020
Ground reaction forces are often used by sport scientists and clinicians to analyze the mechanical risk-factors of running related injuries or athletic performance during a running analysis.
Davis, Jesse   +6 more
core   +1 more source

Forecasting of water intake and supply in water plant in Johor [PDF]

open access: yes, 2021
The safety and availability of water are important for public health, domestic use, food, and drink production process. Since water is essential in daily life, the demand for water intake and water supply are increasing. Moreover, it must be ensured that
Azli, Nor Amiratun Najwa   +2 more
core   +1 more source

Metode Double Exponential Smoothing pada Sistem Peramalan Tingkat Kemiskinan Kabupaten Pangkep

open access: yesIlkom 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
doaj   +1 more source

Penerapan Metode Double Exponential Smoothing dan Moving Average pada Peramalan Permintaan Produk Gasket Cap di PT. Nesinak Industries

open access: yesJurnal 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
doaj   +1 more source

Forecasting bus passenger flows by using a clustering-based support vector regression approach [PDF]

open access: yes, 2020
As a significant component of the intelligent transportation system, forecasting bus passenger flows plays a key role in resource allocation, network planning, and frequency setting.
Bai, Yun   +3 more
core   +1 more source

Cooperative prediction method of gas emission from mining face based on feature selection and machine learning

open access: yesInternational Journal of Coal Science & Technology, 2022
Collaborative prediction model of gas emission quantity was built by feature selection and supervised machine learning algorithm to improve the scientific and accurate prediction of gas emission quantity in the mining face.
Jie Zhou   +5 more
doaj   +1 more source

A multi-variable multi-step Seq2seq networks for the state of charge estimation of lithium-ion battery

open access: yesCase 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
doaj   +1 more source

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