Results 101 to 110 of about 13,673 (195)
A SARIMAX coupled modelling applied to individual load curves intraday forecasting
, 2012 A dynamic coupled modelling is investigated to take temperature into account in the individual energy consumption forecasting. The objective is both to avoid the inherent complexity of exhaustive SARIMAX models and to take advantage of the usual linear ...
Bercu, Sophie, Proïa, Frédéric
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American Journal of Environment and ClimateThis study aimed to demonstrate the efficacy of time series models in both modeling and forecasting processes, leveraging extensive monthly global mean temperature index data spanning from January 1880 to December 2016. Employing the Box–Jenkins methodology, this study identified the SARIMA (2,1,2)(0,0,2)12 model with drift as the most suitable fit for
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Artificial intelligence enabled microgrid power generation prediction
Open Computer ScienceThe rapidly increasing photovoltaic (PV) technology is one of the key renewable energies expected to mitigate the impact of climate change and the energy crisis, which has been widely installed in the past few years.
Wang Xueyi, Li Shancang, Iqbal Muddesar
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Beyond point forecasting: evaluation of alternative prediction intervals for tourist arrivals [PDF]
This paper evaluates the performance of prediction intervals generated from alternative time series models, in the context of tourism forecasting. The forecasting methods considered include the autoregressive (AR) model, the AR model using the bias ...
George Athanasopoulos +4 more
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International Journal of Energy Economics and PolicyThis paper analyzes the relationship between air pollutants and the amount of PM10 measured in Bangkok. It forecasts the amount of PM10 in Bangkok by using the SARIMA and SARIMA-GARCH models to formulate policies to reduce the occurrence of PM10 and guidelines for further prevention. PM's data is from January 2008 to July 2023. First, the process is to
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Predicting the Number of Forest and Land Fire Hotspot Occurrences Using the ARIMA and SARIMA Methods
Jurnal SisfokomForests are an area and part of the environmental cycle that is very important for survival because forests are areas on Earth that regulate the balance of the ecosystem.
Angga Bayu Santoso, Tri Widodo
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Nonparametric modeling and forecasting electricity demand: an empirical study [PDF]
This paper uses half-hourly electricity demand data in South Australia as an empirical study of nonparametric modeling and forecasting methods for prediction from half-hour ahead to one year ahead.
Han Lin Shang
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PERAMALAN DATA TIME SERIES MENGGUNAKAN KOMBINASI MODEL SARIMA (Seasonal Autoregressive Integrated Moving Average) DAN KALMAN FILTER [PDF]
Salah satu metode peramalan dalam analisis time series yaitu SARIMA. Model SARIMA digunakan untuk meramalkan data time series yang bersifat musiman. Namun, model SARIMA tidak efektif untuk peramalan jangka panjang.
Aqilah, Hanifah Nur
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Cyclical Mackey Glass Model for Oil Bull Seasonal [PDF]
In this article, we propose an innovative way for modelling oil bull seasonals taking into account seasonal speculations in oil markets. Since oil prices behave very seasonally during two periods of the year (summer and winter), we propose a modification
Michel TERRAZA +2 more
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Jambura Journal of Biomathematics (JJBM)In this study, we implemented a moving average filter in SARIMA-ANN and SARIMA-SVR to predict Pneumonia incidence in Jakarta. Pneumonia is one of the highest causes of death in children throughout the world. Forecasting pneumonia incidence in the future can help to reduce the spread of cases, so that the number of deaths due to pneumonia can be reduced.
Muhammad Majid Rafi Musyaffa +2 more
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