Sustainable energy systems are necessary to save the natural resources avoiding environmental impacts which would compromise the development of future generations. Delivering sustainable energy will require an increased efficiency of the generation process including the demand side. The architecture of the future energy supply can be characterized by a combination of conventional centralized po...

Climate change has become a challenge with adverse impacts on the Earth. Reducing the use of fossil fuel is a primary step to solve environmental problems. As the population continues to rise, to meet the growing demand for construction with a large share in energy Consumption, Efforts to make the built environment more energy efficient is crucial. The main objective of this research is to eval...

liberalization of energy price increases costs of agricultural inputs and costs of agricultural production. all these changes may affect the overall competitiveness of domestic products with similar foreign products. as a result of that, total cost of agricultural products are increased and profitability are decreased. in this paper, energy consumption for producing corn were calculated using c...

one of the most complicated attacks in wireless sensor network is energy depletion attack. In which vampire attack and Distributed Denial of Service (DDOS) attack were leading. In this paper using a newly proposed Enhanced Ad Hoc on-Demand Vector (ENAODV) routing protocol, the link break at distant node is repaired with alternate path selection of shortest route in secure manner. The Adaptive T...

This paper investigates relative aggregate energy efficiency for a panel of 39 developing countries by econometrically estimating an energy-demand function (EDF) using the stochastic frontier analysis (SFA) approach to provide scores over period 1989 2008. Energy is arguably difficult define or even conceptualise with several interpretations in literature but here it based on economists’ perspe...

• Traditional approaches, including Box–Jenkins autoregressive integrated moving average (ARIMA) model, autoregressive and moving average with exogenous variables (ARMAX) model, seasonal autoregressive integrated moving average (SARIMA) model, exponential smoothing models [including Holt–Winters model (HW) and seasonal Holt and Winters’ linear exponential smoothing (SHW)], state space/Kalman fi...

There has been a rapid growth in demand for computational power which has led to the creation of large data centers. These consume enormous amounts of electrical power resulting in high cost of operation and carbon dioxide emissions. The computing model of cloud usage is also increasing the power consumption by the ICT equipments involved in between a service provider and the user across the ne...

Electricity spot prices are highly volatile under optimal generation capacity scenarios due to factors such as nonstorability of electricity, peak demand at certain periods, generator outages, fuel uncertainty for renewable energy generators, huge investments and time needed for generation capacity expansion etc. As a result market participants are exposed to price and volume risk, which has le...