transmission network expansion planning (tnep) is an important component of power system planning. itdetermines the characteristics and performance of the future electric power network and influences the powersystem operation directly. different methods have been proposed for the solution of the static transmissionnetwork expansion planning (stnep) problem till now. but in all of them, stnep pr...

In the context of the arrival of electric vehicles on the car market, new mathematical models are needed to understand and predict the impact on the market shares. This research provides a comprehensive methodology to forecast the demand of a technology which is not widespread yet, such as electric cars. It aims at providing contributions regarding three issues related to the prediction of the ...

Smart Grid has become more important for the efficient use of electric power and the demand reduction. As demand for electric power is increasing continuously despite its limited capacity. The demand reduction in Smart Grid can be achieved through DR(Demand Response) which reduces demand for electric power. In this paper, we analyzed the weaknesses of open source of Open ADR, protocol for Smart...

EMERALD is a project funded by the European Commission under the FP7 program focusing on energy use optimization on the integration of the electric vehicles into the transport and energy infrastructure. Between the objectives of EMERALD, enhanced power demand prediction and power flow support management system uses the power flow demand simulation platform considered in this paper. The power fl...

Long-term demand forecasting presents the first step in planning and developing future generation, transmission and distribution facilities. One of the primary tasks of an electric utility accurately predicts load demand requirements at all times, especially for long-term. Based on the outcome of such forecasts, utilities coordinate their resources to meet the forecasted demand using a least-co...

We report a method to generate hierarchical topographical patterns on demand under the control of applied voltages. The method is implemented by harnessing the electro-creasing instability in multilayerelastomer films. The critical electric field for electro-creasing instability in a layer of elastomer scales with square root of the elastomer's modulus, while the wavelength of instability patte...

The aim of this thesis is to investigate novel recharging schemes for energy demand management (DM) of electric vehicles (EVs). While there has been a lot of work highlighting the importance of energy DM of EVs, most of the reported works do not expand on suggesting how such a DM system may be implemented. In this thesis the focus is on two aspects of DM system implementation. At the instantane...

Government, utility, and private subsidies for energy efficiency play a prominent role in current efforts to reduce greenhouse gas emissions, yet the effectiveness of this policy approach is in dispute. One opportunity for empirical analysis is provided by the past energy efficiency subsidies, called demand-side management programs, offered by electric utilities in North America over several de...