نتایج جستجو برای: residential energy
تعداد نتایج: 696134 فیلتر نتایج به سال:
This document presents the findings of a scoping study commissioned by the Public Interest Energy Research (PIER) program of the California Energy Commission to determine what research is necessary to develop new residential ventilation requirements for California. This study is one of three companion efforts needed to complete the job of determining the ventilation needs of California residenc...
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 ...
Technological advancements, such as smart appliances, have enabled residential buildings to become a true Cyber-Physical System (CPS), where the devices correspond to the physical system and the smart computation and control mechanisms define the cyber part. An important aspect of these residential cyber-physical systems is their large portion of the overall energy consumption in the electric g...
Today, environmental issues have become very important. One of these issues is related to energy consumption in residential buildings. Excessive energy consumption has led to climate change, global warming, climate pollution, and energy shortages. Tehran, as a large metropolis with a high population, is not safe from the damage of high energy consumption in buildings. The purpose of this study ...
Considering that the improvement of energy efficiency and the resulting rebound effect in the literature of energy economics is very important, hence the present paper uses the ARDL approach to estimate the direct rebound effect of the natural gas consumption in the residential sector in Iran. For this purpose, data from the period of 1986-2016 and the methodology based on the estimation of nat...
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 ...
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