Energy efficiency in buildings and facilities has become an important part of the efforts for reducing environmental pollution. In order to develop strategies for efficient allocation of energy resources aimed at reducing power consumption, certain electrical quantities needed for analysis must be measured and monitored. In this paper, we propose a low-cost architecture of the remote electrical...

Reducing energy consumption is an increasingly important issue in cloud computing, more specifically when dealing with a large scale cloud. Minimizing energy consumption can significantly reduce the amount of energy bills, and the greenhouse gas emissions. Therefore, many researches are carried out to develop new methods in order to consume less energy. In this paper, we present an Energy-aware...

Traditional research on production scheduling in aluminum industry, aimed to certain production process, simply pursued the output as the highest aim, scheduled based on experience, so that the result of scheduling cannot reach the global optimization, and cannot realize production scheduling and resource allocation with the aim of optimal energy consumption, resulting in the waste of energy. T...

Data center networks (DCNs) have been growing in size and their power consumption is becoming a matter of concern. Many recent papers, including ElasticTree and CARPO, propose new nearenergy-proportional DCNs, aiming at reducing the power consumption by dynamically powering off idle network switches and links. In this paper, we examine the power optimization model for DCNs, and present a scalab...

this paper estimates the trend of total energy subsidies from year 2003 (that is 16.68% of gdp) and running a model, predicts that energy subsidies will reach to 20% of gdp by 2019 if subsidies continue. also environmental damage costs of energy consumption have been entered the model (environmental cost-benefit analysis model: ecba model) in addition to the vast amounts of subsidies. so damage...

If in-home displays and other interventions are to successfully influence people's energy consumption, they need to communicate about energy in terms that make sense to users. Here we explore householders' perceptions of energy consumption, using a novel combination of card-sorting and clustering to reveal shared patterns in the way people think about domestic energy consumption. The data sugge...

The paper proposes an energy-aware dynamic clustering-based scheduling algorithm that aims at reducing communication energy consumption through clustering dependent tasks. A job can be described by a direct acyclic graph (DAG) of parallel tasks. Because the execution time is hard to estimate accurately, the current static scheduling strategies may cause energy increase due to task waiting. The ...

in recent years, the issue of energy consumption modeling techniques in the building sector has been widely considered by researchers and managers. researches indicate that energy consumption in residential sector is one of the main parts of the total consumption. moreover, the urban residence is supposed as a significant consumer of energy in every country and therefore a focus for energy cons...