Abstract Distributed generation represents a paradigm shift from the traditional electric grid to localized of power along with capability incorporating renewable energy (RE) sources into mix. Responding need for sufficient analysis, simulation, and study feasibility distributed generation, this aims design hybrid system university building analyze its economic benefits. The viability existing ...

Agrarian growth is relevant for Russia in the face of geopolitical challenges. We introduce a new concept national agricultural product to determine potential growth. propose methodology assessing product. The volume products produced, taking into account its availability, sufficiency and quantity meet needs country’s population. Using this technique, we estimated developed forecast production ...

In the past few years, increase in relation between physical and digital world over internet was witnessed. Even though applications can enhance smart home systems, it is still early stages challenges field of things (IoT). An extreme level data quality (DQ) system management essential to produce a meaningful vision. However, most energy has no straightforward process removing abnormal data. He...

The present study provides a national scenario of aerosol pollution with the long-term (2005–2019) trend, source apportionment, and future (2023) for each Indian states. We used MODIS AOD FRP, differential AODs from MERRA-2, trace gases (NO2, SO2) data OMI. Almost all states IGP fall under red zone (“highly vulnerable”; >0.5) whereas central, western, few south-Indian orange (“vulnerable”; 0.4 ...

The Auto Regressive Integrated Moving Average (ARIMA) model seems not to easily capture the nonlinear patterns exhibited by 2019 novel coronavirus (COVID-19) in terms of daily confirmed cases. As a result, Artificial Neural Network (ANN) and Error, Trend, Seasonality (ETS) modeling have been successfully applied resolve problems with estimation. Our research suggests that it would be ideal use ...

Telecommunication companies collect a deluge of subscriber data without retrieving substantial information. Exploratory analysis this type will facilitate the prediction varied information that can be geographical, demographic, financial, or any other. Prediction therefore an asset in decision-making process telecommunications companies, but only if retrieved follows plan with strategic actions...

Model identification is an important and complicated step within the autoregressive integrated moving average (ARIMA) methodology framework. This step is especially difficult for integrated series. In this article first investigate Box-Jenkins methodology and its faults in detecting model, and hence have discussed the problem of outliers in time series. By using this optimization method, we wil...

The objective of the study was to describe seasonality of hospitalizations for heart failure in tropical climate as it has been described in cold climates. Seasonal Auto-regressive Integrated Moving-Average model was applied to time-series data of heart failure hospitalizations between 1996 and 2004 in Niteroi (Southeastern Brazil), collected from the Brazilian National Health Service Database....

Currently, the pandemic caused by a novel coronavirus, namely severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is one of the most serious issues worldwide. SARS-CoV-2 was first observed in Wuhan, China, on December 31, 2019; this disease has been rapidly spreading worldwide. Iran was the first Middle East country to report a coronavirus death, it has been severely affected. Therefo...

BACKGROUND Hantavirus pulmonary syndrome (HPS) is a life threatening disease transmitted by the rodent Oligoryzomys longicaudatus in Chile. Hantavirus outbreaks are typically small and geographically confined. Several studies have estimated risk based on spatial and temporal distribution of cases in relation to climate and environmental variables, but few have considered climatological modeling...