Results 11 to 20 of about 21,185 (243)
Combined Approximate Entropy Model and ANNs to Predict Inflow at Gorganrood River [PDF]
مهندسی عمران شریف, 2022 Prediction of river inflow along with other parameters such as sediment load, flood magnitude, and so on plays an important role in Water Resources Management planning and reservoir operation program.
M. Zanganeh, A.R. Chaji
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Peramalan Data Cuaca Ekstrim Indonesia Menggunakan Model ARIMA dan Recurrent Neural Network
Jambura Journal of Mathematics, 2023 Extreme weather modeling is a challenge for modeling experts in Indonesia and the world. Extreme weather prediction is a complex problem because the chances of it happening are very small, so the developed models often have a low level of accuracy.
Hikmah Hikmah +3 more
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Modelling Petroleum Prices in Tanzania: A Comparative Analysis between ARIMA and Holt’s Method [PDF]
International Journal of Management, Accounting and Economics, 2023 Petroleum is one of the vital sources of energy for economic activities and the most traded commodity worldwide. It is crucial to industry and civilization and as it meets a substantial portion of the world's energy requirements, it has a big impact on ...
Laban Gasper, George Abrahamu
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Forecasting Analysis of Stock Prices on European Markets Using the ARIMA-GARCH Model [PDF]
Statistika: Statistics and Economy Journal, 2023 The achievement of profits when trading on the stock markets is conditioned by a quality analytical forecast of the development of stock prices in the coming period.
Alžběta Zíková, Jitka Veselá
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Nature Communications, 2019 It is currently unclear how quantitative changes in chromatin loop propensity contribute to differential gene regulation. Here, the authors use phased Hi-C, RNA-seq, and ChIP-seq to show that subtle changes in loop propensity associate with differential ...
William W. Greenwald +10 more
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Prediction of Fruit Production in India: An Econometric Approach
Journal of Horticultural Research, 2023 Forecasting is valuable to countries because it enables them to make informed business decisions and develop data-driven strategies. Fruit production offers promising economic opportunities to reduce rural poverty and unemployment in developing countries
Ray Soumik +8 more
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Journal of Banking and Financial Economics, 2023 The proper forecasting of listed companies’ earnings is crucial for their appropriate pricing. This paper compares forecast errors of different univariate time-series models applied for the earnings per share (EPS) data for Polish companies from the ...
Wojciech Kuryłek
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Energies, 2023 Forecasting peak electrical energy consumption is important because it allows utilities to properly plan for the production and distribution of electrical energy. This reduces operating costs and avoids power outages. In addition, it can help reduce environmental impact by allowing for more efficient power generation and reducing the need for ...
Pierre, Agbessi Akuété +3 more
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PREDICTING USD/ TL EXCHANGE RATE IN TURKEY: THE LONG-SHORT TERM MEMORY APPROACH
Mehmet Akif Ersoy Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 2023 The prediction of the exchange rate time series has been quite challenging but is an essential process. This is as a result of the inherent noise and the volatile behavior in these series.
Abdul-razak Bawa Yussif +3 more
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Optimization of ARIMA Forecasting Model using Firefly Algorithm
IJCCS (Indonesian Journal of Computing and Cybernetics Systems), 2019 Time series prediction aims to control or recognize the behavior of the system based on the data in a certain period of time. One of the most widely used method in time series prediction is ARIMA (Autoregressive Integrated Moving Average). However, ARIMA
Ilham unggara +2 more
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