Open Automated Demand Response (OpenADR), an XML-based information exchange model, is used to facilitate continuous price-responsive operation and demand response participation for large commercial buildings in New York who are subject to the default day-ahead hourly pricing. We summarize the existing demand response programs in New York and discuss OpenADR communication, prioritization of dema...

In this study, the energy consumption in the food and beverage industries of Iran was investigated. The energy consumption in this sector was modeled using artificial neural network (ANN), response surface methodology (RSM) and genetic algorithm (GA). First, the input data to the model were calculated according to the statistical source, balance-sheets and the method proposed in this paper. It ...

The sonocatalytic activity of nano-sized ZnO powder was studied via the degradation of the Direct Blue 71 azo dye. The nano-sized ZnO powder that was selected was the same as that which was synthesized and characterized in our previous study. The influences of six operational parameters including the initial pH, the initial concentration, the dose of sonocatalyst, the ultrasound frequency, the ...

Iran has suffered ever-increasing domestic energy consumption, mostly because of its long-standing price control policy. To decelerate this trend, Iran began a reform on its energy subsidy system in December 2010. This paper examines the inflationary impact of the energy subsidy reform on different Iranian non-energy sectors and urban and rural households by making an updated input–output...

Urban areas consume up to 80 percent of the world's total energy production and are growing in size and complexity. At present, urban building energy consumption is largely considered solely in terms of individual building types, neglecting the effects of residents’ location-based activities that influence patterns in energy supply and demand. Here, we examine the spatial fluctuations of these ...

abstract: nowadays due to developing the information technology, buildings are equipped to this technology in order to reduce energy consumption and make more convenient for inhabitants. the popularity of smart home has been increasing greatly in recent years due to much higher affordability and simplicity through android smartphone connectivity. this paper prepares a review of smart home and h...

energy is considered as an important input for agricultural products. a decrease in energy subsidy and its demand reduces agricultural outputs and raises the production costs. changes in production and costs may significantly affect welfare of the agricultural producers. the main objective of this study was to analyze the impact of increased energy prices (reduction in the subsidy) on the agric...

this research studies the application of hybrid algorithms for predicting the prices of crude oil. brent crude oil price data and hybrid intelligent algorithm (time delay neural network, probabilistic neural network, and fuzzy logic) were used to build intelligent decision support systems for predicting crude oil prices. the proposed model was able to predict future crude oil prices from august...