Off-grid microgrids are receiving a growing interest for rural electrification purposes in developing countries due to their ability ensure affordable, sustainable and reliable energy services. rely on renewable sources (RES) coupled with storage systems supply the electrical consumption. The inherent uncertainty introduced by RES as well stochastic nature of demand contexts pose significant ch...

The most favorable locations for wind farm were determined based on environmental landuse factors, wind resources and the layout of the electrical grid lines. In the study landuse map was prepared and updated by using Survey of India topographic sheet and ASTER satellite imagery in open source Quantum GIS & GRASS GIS software environment. Wind Power Density Layer was digitized by using Indian w...

estimation and mapping of forest resources is a precondition for management, planning and research.this research was conducted to investigate the spatial structure and estimation of crown cover anddensity of an oak forest in the west of iran (loristan province) using kriging interpolation method ofgeostatistics. field sampling was performed based on a 100 m×100 m systematic grid using 2000 m2ci...

This paper develops an adaptive control method for controlling frequency and voltage of an islanded mini/micro grid (M/µG) using reinforcement learning method. Reinforcement learning (RL) is one of the branches of the machine learning, which is the main solution method of Markov decision process (MDPs). Among the several solution methods of RL, the Q-learning method is used for solving RL in th...

Image and statistical analysis are two important aspects of microarray technology. Of these, gridding is necessary to accurately identify the location of each spot while extracting spot intensities from the microarray images and automating this procedure permits highthroughput analysis. In this paper, an automatic gridding and spot quantification technique is proposed, which takes a microarray ...

Nowadays, data visualization plays an important role in geo-spatial data investigations, specifically in the context of visual exploration at interactive frame rates. Geo-spatial data typically include geographic information in form of a set of gridded or un-gridded points, where each point identifies a location on the earth’s surface. A variety of projection methods are in use to re-produce th...

Digital Elevation Models (DEM) and 3D spatial data plays an important role in typical earth science applications. Numerous simulations, e.g. flood modeling, and spatial analysis, requires very exact terrain data. During the acquisition of these data, for an example by means of laserscanning, very large data sets results due to the high measuring point density (up to four points per square meter...

The impact of social media and its growing association with the sharing of ideas and propagation of messages remains vital in everyday communication. Twitter is one effective platform for the dissemination of news and stories about recent events happening around the world. It has a continually growing database currently adopted by over 300 million users. In this paper we propose a novel grid-ba...

Highly shared resources over multiple grid platforms make insecurity and privacy abuse major obstacles hindering general-purpose Grid applications. A scalable grid system demands the allocation and release of resources dynamically. A distributed Grid security (GridSec) architecture is introduced to meet these demands. The architecture is built with distributed firewalls, packet filters, securit...

The power grid is a complex and vital system that necessitates careful reliability management. Managing the grid is a difficult problem with multiple time scales of decision making and stochastic behavior due to renewable energy generations, variable demand and unplanned outages. Solving this problem in the face of uncertainty requires a new methodology with tractable algorithms. In this work, ...