Forecasting of temperature and precipitation can be efficiently used in decision making and optimal use of water resources. Studies in Iran have indicated a significant increase in annual temperature. This issue should be further researched in the Ahvaz region because it is the population hub in the southwest of Iran and the pole of irrigation networks and traditional agricultural land ...

abstract forecasting electrical energy demand and consumption is one of the important decision-making tools in distributing companies for making contracts scheduling and purchasing electrical energy. this paper studies load consumption modeling in hamedan city province distribution network by applying esn neural network. weather forecasting data such as minimum day temperature, average day temp...

introduction: the phenomenon of climate change and its consequences is a familiar topic which is associated with natural disasters such as, flooding, hurricane, drought that cause water crisis and irreparable damages. studying this phenomenon is a serious warning regarding the earth’s weather change for a long period of time. materials and methods: in order to understand and survey the impacts ...

Abstract Forecasting electrical energy demand and consumption is one of the important decision-making tools in distributing companies for making contracts scheduling and purchasing electrical energy. This paper studies load consumption modeling in Hamedan city province distribution network by applying ESN neural network. Weather forecasting data such as minimum day temperature, average day temp...

The increasing frequency of sporadic weather patterns in the last decade, especially major winter storms, demands improvements in current weather forecasting techniques. Recently, there are growing interests in stratospheric forecasting because of its potential enhancements of weather forecasts. The dominating factors of northern hemisphere wintertime variation of the general circulation in the...

abstract statistical methods are one of the useful tools for climatic elements and their behaviors analysis, as well as, modeling and predicting them subtly. in this paper the behavior of time series of annual temperature of zanjan during 1956-2005 have been studied. so, based on autocorrelation, correlation coefficient, and spearman and mann - kendall ways, the data trend was determined. the a...

Increased temperature is one of the signals global warming. Trends in land surface can be used to measure climate change. This research aimed investigate variation Borneo island using a cubic spline method and multivariate regression model. The was divided into 8 regions each comprising 9 subregions. Land temperatures for subregion from 2000 2019 were obtained National Aeronautics Space Adminis...

pore network modeling uses a network of pores connected by throats to model the void space of a porous medium and tries to predict its various characteristics during multiphase flow of various fluids. in most cases, a non-realistic regular lattice of pores is used to model the characteristics of a porous medium. although some methodologies for extracting geologically realistic irregular network...