In the present study Artificial Neural Network (ANN) has been optimized using a hybrid algorithm of Genetic Algorithm (GA) and Particle Swarm Optimization (PSO). The hybrid GA-PSO algorithm has been used to improve the estimation of electricity demand of the state of Tamil Nadu in India. The ANN-GA-PSO model uses gross domestic product (GSDP); electricity consumption per capita; income growth r...

public bathes have much importance in islamic cities, after the most significant structures like mosques and schools. there are a number of factors affecting the construction of bathes among which temperature regulation, humidity, access path, location in the urban texture, watercourses, and construction of exit paths are the most important. this study tries to make a comparative analysis of t...

Although Occupational Therapy in Iran is relatively a new profession, it has been well progressed, providing various services for people with all kinds of disabilities. As such, in the last decades, OT has been recognized as the major demand in all governmental, private and NGO sectors. Due to this demand, occupational therapy training programs have been increased from three into ten, expecting...

Development of every society is incumbent upon energy sector’s technological and economic effectiveness. The electricity industry is a growing and needs to have a better performance to effectively cover the demand. The industry requires a balance between cost and efficiency through careful design and planning. In this paper, a two-stage stochastic programming model is presented for the design o...

with the aim of reducing cost of electricity consumption and peak load reduction, tools requirement for better managing electricity consumption have become inevitable in recent years. smart home has some equipment which are controllable and this ability is used for increasing comfort and minimizing electricity cost for residence. as a key component of smart home , electric vehicle(ev) ,increase...

Identifying the factors that influence electricity demand in the continental United States and mathematically characterizing them are important for developing electricity consumption projections. The price elasticity of demand is especially important, since the electricity price effects of policy implementation can be substantial and the demand response to policy-induced changes in prices can s...