Time series based air pollution forecasting using SARIMA and prophet model
Air pollution severely affects many countries around the world causing serious health effects
or death. Increasing dependency on fossil fuels through the last century has been …
or death. Increasing dependency on fossil fuels through the last century has been …
Forecasting COVID-19 impact on RWI/ISL container throughput index by using SARIMA models
Maritime operators are facing their biggest challenge called Coronavirus (COVID-19) since
the 2008 financial crisis. As part of the measures taken by the countries against the virus, the …
the 2008 financial crisis. As part of the measures taken by the countries against the virus, the …
Prediction of meteorological parameters using statistical time series models: a case study
Natural calamities are frequent nowadays due to global warming caused by the adverse
impact created by unsustainable development and associated environmental pollution …
impact created by unsustainable development and associated environmental pollution …
Seasonal and periodic Autoregressive time series models used for forecasting analysis of Rainfall data
S Kaur, M Rakshit - International Journal of Advanced Research in …, 2020 - papers.ssrn.com
The amount of rainfall received over an area is an important factor in assessing availability
of water to meet various demands for agriculture, industry, irrigation, generation of …
of water to meet various demands for agriculture, industry, irrigation, generation of …
Multistage cascade predictor of structural elements movement in the deformation analysis of large objects based on time series influencing factors
Hydropower dam displacement is influenced by various factors (dam ageing, reservoir water
level, air, water, and concrete temperature), which cause complex nonlinear behaviour that …
level, air, water, and concrete temperature), which cause complex nonlinear behaviour that …
Time Series Regression: Prediction of Electricity Consumption Based on Number of Consumers at National Electricity Supply Company
Electrical energy is one of the components of Gross Domestic Product that is able to
encourage the economy because it has become a basic need of the community. To meet the …
encourage the economy because it has become a basic need of the community. To meet the …
[PDF][PDF] Annual forecasting using a hybrid approach
QM Abdulqader - General Letters in Mathematics, 2018 - refaad.com
In this paper, we used a hybrid method based on wavelet transforms and ARIMA models
and applied on the time series annual data of rain precipitation in the Province of Erbil-Iraq …
and applied on the time series annual data of rain precipitation in the Province of Erbil-Iraq …
[PDF][PDF] Forecasting of Monthly Mean Rainfall in East Sikkim using ETS and SARIMA model in 'R'Software
NK Mishra - 2020 - researchgate.net
Abstract Seasonal Auto Regressive Integrated Moving Average (SARIMA) model and
Exponential Smoothing (ETS) model are used to analyze monthly mean rainfall of East …
Exponential Smoothing (ETS) model are used to analyze monthly mean rainfall of East …
[引用][C] AŽURIRANJE POSTOJEĆEG HIDROLOŠKOG NIZA I NJEGOV UTICAJ NA PLANIRANJE PROIZVODNJE SISTEMA HE NA NERETVI
EH Bubalo, J BiH
[引用][C] Time Series Analysis of Rainfall and Temperature in Rwanda using ARIMA Model
SN Kiilu - 2021