Abstract
In this era of Internet of Thing (IoT) and Big Data, observations are collected not as daily, weekly, monthly, quarterly or yearly, but are taken at a finer time scale. These observations are in hourly, minutely, second and then divide into fractions of second have become available mainly due to the advancement in data acquisition and processing techniques. In this chapter, high frequency time series data of solar radiation of every 30 s will be gathered and model using Box and Jenkins methodology. This methodology comprises of model identification, model estimation, model verification and finally model adequacy.
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Ismail, M.T., Karim, S.A.A. (2020). Time Series Models of High Frequency Solar Radiation Data. In: Karim, S., Abdullah, M., Kannan, R. (eds) Practical Examples of Energy Optimization Models. SpringerBriefs in Energy. Springer, Singapore. https://doi.org/10.1007/978-981-15-2199-7_6
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DOI: https://doi.org/10.1007/978-981-15-2199-7_6
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