Adaptation of TIMES Model Structure to Industrial, Commercial and Residential Sectors

Developing Flood Economic Loss Evaluation Model in Residential and Commercial Sectors Case Study: Darband and Golab Darreh Rivers

Flood phenomenon is one of the catastrophic natural disasters which usually cause injuries and economic losses more than any weather phenomenon. Therefore evaluating flood economic losses is extremely important and it should be consider in socioeconomic development, spatial planning policies and flood control plans. Contrary to importance of this issue, available evaluating methods of flood eco...

Modeling North America Energy Demand By Sectors (Residential-Commercial And Transportation)

the innovation of a statistical model to estimate dependable rainfall (dr) and develop it for determination and classification of drought and wet years of iran

آب حاصل از بارش منبع تأمین نیازهای بی شمار جانداران به ویژه انسان است و هرگونه کاهش در کم و کیف آن مستقیماً حیات موجودات زنده را تحت تأثیر منفی قرار می دهد. نوسان سال به سال بارش از ویژگی های اساسی و بسیار مهم بارش های سالانه ایران محسوب می شود که آثار زیان بار آن در تمام عرصه های اقتصادی، اجتماعی و حتی سیاسی- امنیتی به نحوی منعکس می شود. چون میزان آب ناشی از بارش یکی از مولفه های اصلی برنامه ...

What Type of City to Be? Local Government Receptivity to Industrial, Commercial, and Residential Development

The literature on urban development politics provides clues, but no consensus, regarding the orientation of local governments toward specific types of new growth. This paper examines the receptivity of cities to industrial, commercial, and residential development, drawing upon a mail survey of top administrative officials in 330 California municipalities. Bivariate data suggest that communities...

Selecting the appropriate scenario for forecasting energy demands of residential and commercial sectors in Iran using two metaheuristic algorithms

This study focuses on the forecasting of energy demands of residential and commercial sectors using linear and exponential functions. The coefficients were obtained from genetic and particle swarm optimization (PSO) algorithms. Totally, 72 different scenarios with various inputs were investigated. Consumption data in respect of residential and commercial sectors in Iran were collected from the ...