C. MIHAI, A. VELEA, N. ROMAN, L. TUGULEA, N. I. MOLDOVAN Department of Electricity, Solid State and Biophysics, Faculty of Physics, University of Bucharest, Romania National Institute of Materials Physics, Bucharest Magurele, Romania Department of Computer Science, The Ohio State University Lima, Ohio, USA Department of Internal Medicine, Davis Heart and Lung Research Institute, The Ohio State ...

Abstract In this study, we applied recently developed panel unit root and cointegration techniques to examine the long-run real income per capita and price elasticities for demand of electricity in selected Middle East and North African (MENA) countries using an annual data series from 1990 to 2011.Our main finding from the panel analysis is that the demand for electricity is highly price ela...

In this study, the causality links between electricity consumption and economic growth are investigated for Turkey, the United Kingdom, Spain, Belgium and United States covering the period from 1964 to 2014. The results of autoregressive distributed lag (ARDL) approach, bounds testing and error correction model show that there is a positive one-way and statistically significant causality moving...

over the last few years, role of computers has become a controversial issue in language learning. this study was designed to examine the impact of computer anxiety and computer self-efficacy on the speaking section of the toefl ibt test taken by intermediate efl learners. the researchers intended to find out, which var- iable i.e. computer anxiety and/or self-efficacy would result in better per...

Intensified industrialization in developing countries has recently resulted in huge electric power demand growth; however, electricity generation in these countries is still heavily reliant on inefficient and traditional non-renewable technologies. In this paper, we develop an integrated game-theoretic model for effective power systems planning thorough balancing between supply and demand for e...

Assessment of the electricity market shows that, electricity market data can be considered "big data". this data has been analyzed by both conventional and modern data mining methods. The predicted variables of supply and demand are considered to be the input of a defined multi-objective for predicting electricity price, which is the result of the defined model. This shows the advantage of appl...

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...