Power transformer demand forecast with Box Jenkins ARIMA model
نویسندگان
چکیده
منابع مشابه
A Multivariate Arima Model to Forecast Air Transport Demand
Forecast of air transport demand has a great influence on the development of airport master plans with respect both to airside (runways, taxiways, aprons, technological devices) and landside (boarding/landing area, waiting rooms, etc.), given that it depends on the amount of passengers during the reference time period, usually the year or more years for such aim. As a result of deregulation and...
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Natural calamities (e.g., hurricane, excessive ice-fall) may often impede the inventory replenishment during the peak sale season. Due to the extreme situations, sales may not occur and demand may not be recorded. This study focuses on forecasting of intermittent seasonal demand by taking random demand with a proportion of zero values in the peak sale season. Demand pattern for a regular time i...
متن کاملCase Study : Analysis and Forecasting of Salinity in Apalachicola Bay , Florida , Using Box - Jenkins Arima Models
The Apalachicola Bay is one of the most productive estuaries in Florida. Variations of salinity directly influence the productivity of the aquatic habitats. Physical conditions that affect the salinity include tidal elevations, wind and current velocities, precipitation, and the discharge of the Apalachicola River. In the present paper, cross-correlation techniques, autoregressive integrated mo...
متن کاملReliability Model of Power Transformer with ONAN Cooling
Reliability of a power system is considerably influenced by its equipments. Power transformers are one of the most critical and expensive equipments of a power system and their proper functions are vital for the substations and utilities. Therefore, reliability model of power transformer is very important in the risk assessment of the engineering systems. This model shows the characteristic...
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ژورنال
عنوان ژورنال: International Journal of Energy Applications and Technologies
سال: 2020
ISSN: 2548-060X
DOI: 10.31593/ijeat.771010