Results 21 to 30 of about 153,678 (301)
Elektronika ir Elektrotechnika, 2022 The development of smart metering technology empowers power reforms, which allows effective implementation of demand response programs to effectively operate the power grid.
Priya Lakshmanan, Venugopal Gomathi B
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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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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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Prediction model of the number of street voluntary blood donors
Zhongguo shuxue zazhi, 2022 Objective To explore the relationship between climate factors and the number of street voluntary blood donors in Beijing and develop a reliable predictive model, so as to provide reference for donor recruitment. Methods The data of weather and the number
Qiyong BI, Zhili WANG, Xiao CHEN
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Comparative Analysis of ARIMA, SARIMAX, and Random Forest Models for Forecasting Future GDP of the UK in Relation to Unemployment Rate [PDF]
International Journal of Management, Accounting and Economics, 2023 Accurate forecasting of Gross Domestic Product (GDP) is crucial for policymakers, businesses, and investors. This research explores the use of SARIMAX, ARIMA, and Random Forest models to forecast GDP in the UK.
Md Hossain
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Bootstrap predictive inference for ARIMA processes [PDF]
, 2004 In this study, we propose a new bootstrap strategy to obtain prediction intervals for autoregressive integrated moving-average processes. Its main advantage over other bootstrap methods previously proposed for autoregressive integrated processes is that ...
Pascual, Lorenzo +2 more
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Unemployment Rates Forecasts – Unobserved Component Models Versus SARIMA Models In Central And Eastern European Countries [PDF]
, 2017 In this paper we compare the accuracy of unemployment rates forecasts of eight Central and Eastern European countries. The unobserved component models and seasonal ARIMA models are used within a rolling short-term forecast experiment as an out-of-sample ...
Będowska-Sójka, Barbara
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Stock Price Predictions with LSTM-ARIMA Hybrid Model under Neutrosophic Treesoft sets with MCDM interaction [PDF]
Neutrosophic Sets and SystemsThe stock market is regarded as volatile, complex, tumultuous, and dynamic. Forecasting stock performance has proven to be a challenging endeavour due to its increasing need for investment and growth prospects.
Florentin Smarandache +2 more
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Monthly precipitation prediction in Luoyang city based on EEMD-LSTM-ARIMA model
Water Science and Technology, 2023 At present, the method of using coupled models to model different frequency subseries of precipitation series separately for prediction is still lacking in the research of precipitation prediction, thus in this paper, a coupled model based on Ensemble ...
Jiwei Zhao, Guangzheng Nie, Yihao Wen
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استخدام الشبکات العصبية والنماذج المختلطة متعددة المستويات في تقدير الطلب على التأمين بالتطبيق على الدول العربية [PDF]
Maǧallaẗ Al-Buḥūṯ Al-Mālīyyaẗ wa Al-Tiğāriyyaẗ, 2020 يعد نمو قطاع التأمين عاملاً هاماً في التنمية الاقتصادية والاجتماعية في أي دولة، وتهدف هذه الدراسة إلى التنبؤ بالطلب على التأمين في الدول العربية بناء على تحديد أهم العوامل المؤثرة فيه.
السيد الأشقر +2 more
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