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Eduar Jamis Mejía Vásquez,Salome Gonzales Chávez
Pág. 181 - 191
El objetivo de este trabajo es predecir el consumo de energía eléctrica residencial de la Región Cajamarca mediante modelos Holt-Winters. Este procedimiento de modelización predictiva es útil para la predicción a corto y mediano plazo de ventas de energí...
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Irina Kochetkova, Anna Kushchazli, Sofia Burtseva and Andrey Gorshenin
Fifth-generation (5G) networks require efficient radio resource management (RRM) which should dynamically adapt to the current network load and user needs. Monitoring and forecasting network performance requirements and metrics helps with this task. One ...
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Ansari Saleh Ahmar, Pawan Kumar Singh, R. Ruliana, Alok Kumar Pandey and Stuti Gupta
The agriculture sector plays an essential function within the Indian economic system. Foodgrains provide almost all the calories and proteins. This paper aims to compare ARIMA, SutteARIMA, Holt-Winters, and NNAR models to recommend an effective model to ...
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Yupeng Cao, Jiangwei Cao and Zhiguo Zhou
Due to sensor characteristics, geographical environment, electromagnetic interference, electromagnetic silence, information countermeasures, and other reasons, the phenomenon of track breakages occur in the process of aircraft track data processing. It l...
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Weijie Zhou, Huihui Tao and Huimin Jiang
It is of great significance to be able to accurately predict the time series of energy data. In this paper, based on the seasonal and nonlinear characteristics of monthly and quarterly energy time series, a new optimized fractional grey Holt?Winters mode...
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Ayesha Ubaid, Farookh Hussain and Muhammad Saqib
Demand forecasting has a pivotal role in making informed business decisions by predicting future sales using historical data. Traditionally, demand forecasting has been widely used in the management of production, staffing and warehousing for sales and m...
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Óscar Trull, J. Carlos García-Díaz and Alicia Troncoso
Electricity management and production depend heavily on demand forecasts made. Any mismatch between the energy demanded with respect to that produced supposes enormous losses for the consumer. Transmission System Operators use time series-based tools to ...
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Abdulla I. Almazrouee, Abdullah M. Almeshal, Abdulrahman S. Almutairi, Mohammad R. Alenezi, Saleh N. Alhajeri and Faisal M. Alshammari
Electrical generation forecasting is essential for management and policymakers due to the crucial data provided for resource planning. This research employs the Prophet model with single and multiple regressors to forecast the electricity generation in K...
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H. M. Emrul Kays, A. N. M. Karim, Mohd Radzi C. Daud, Maria L. R. Varela, Goran D. Putnik and José M. Machado
The adoption of forecasting approaches such as the multiplicative Holt-Winters (MHW) model is preferred in business, especially for the prediction of future events having seasonal and other causal variations. However, in the MHW model the initial values ...
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Chris van Heerden,Andre Heymans,Yudhvir Seetharam
AbstractCentral banks currently perform inflation expectation surveys in order to better align their inflation expectations with that of the general public. However, surveys are time-consuming, complicated, expensive and not always accurate, thus comprom...
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Vadim Kramar and Vasiliy Alchakov
The models for forecasting time series with seasonal variability can be used to build automatic real-time control systems. For example, predicting the water flowing in a wastewater treatment plant can be used to calculate the optimal electricity consumpt...
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Regi Muzio Ponziani
Pág. 662 - 670
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Henrique do Nascimento Camelo, Paulo Sérgio Lucio, João Verçosa Leal Junior
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Henrique do Nascimento Camelo,Paulo Sérgio Lucio,João Verçosa Leal Junior
O presente artigo mostra metodologias capazes de realizar previsões de velocidade do vento com boa acurácia as quais poderão ser aplicadas no setor de geração eólica. Para isso, dados de velocidade dos ventos das regiões de Fortaleza, Parnaíba e São Luís...
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Mustafa Akpinar and Nejat Yumusak
Consumption of natural gas, a major clean energy source, increases as energy demand increases. We studied specifically the Turkish natural gas market. Turkey?s natural gas consumption increased as well in parallel with the world?s over the last decade. T...
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Zorana Kostic,Vinko Lepojevic,Vesna Jankovic-Milic
Pág. 145 - 159
This paper presents a framework for the practical modeling of inflation, as one of the key economic indicators. Empirical research of monthly inflation trends in the Republic of Serbia was done covering the period from January 2007 to December 2015. The ...
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Yunchun Cao,Yuzhan Liu,Danyang Shen
Pág. 60 - 80
Scattered failure frequency, variable and complex influencing factors, and a low accuracy in predicting inventory demand are characteristics of line replaceable unit (LRU) parts. Some high-priced repairable LRU (HR-LRU) parts have a considerable impact o...
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Geun-Cheol Lee and June-Young Bang
In this study, we propose a model to forecast container throughput for the Singapore port, one of the busiest ports globally. Accurate forecasting of container throughput is critical for efficient port operations, strategic planning, and maintaining a co...
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Felipe Leite Coelho da Silva, Kleyton da Costa, Paulo Canas Rodrigues, Rodrigo Salas and Javier Linkolk López-Gonzales
Forecasting the industry?s electricity consumption is essential for energy planning in a given country or region. Thus, this study aims to apply time-series forecasting models (statistical approach and artificial neural network approach) to the industria...
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Igor Chirkov,Maxim Dunaev
Pág. 36 - 42
The problem of software failures in the operation of complex corporate software systems is economically significant and, unfortunately, inevitable. Therefore, to solve this problem, it is necessary to predict failures in a timely manner, based on informa...
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