The present trend to electricity market restructuring increases the need for reliable short-term load forecast (STLF) algorithms, in order to assist electric utilities in activities such as planning, operating and controlling electric energy systems. Methodologies such as artificial neural networks (ANN) have been widely used in the next hour load forecast horizon with satisfactory results. How...

Abstract—Conservation voltage reduction (CVR) can effectively reduce electricity consumption and peak demand by keeping the customer voltages in the lower half of the permissible range. To facilitate widespread adoption of CVR, a reliable and robust CVR performance evaluation methodology is in critical need. However, it is difficult to accurately estimate the load reduction impact of CVR in pra...

Network reconfiguration is one of the electricity network optimization techniques for losses reduction and load balancing by changing the open-closed status of sectionalized switches. In this paper, an application of network reconfiguration in low-voltage (LV) domestic distribution network with high penetration of electric vehicles (EVs) is presented. Firstly, high resolution time-series domest...

Time-dependent creep analysis is crucial for the performance and reliability of piezoactuators used for high-precision positioning and load-bearing applications. In this study history of stresses, deformations and electric potential of hollow rotating cylinders made of functionally graded piezoelectric material (FGPM), e.g., PZT_7A have been investigated using Mendelson’s method of successive e...

in this paper, evaluation of torsional stiffness in beam and slab bridge deck elements is presented. a beam and slab bridge decks structurally behave as a grillage. a grillage has an efficient transverse load distribution due to transverse asymmetric load. in the case of bridge deck without transverse beams in the span, transverse load distribution depends on the torsional stiffness of longitud...

In this paper, we propose the Electric Vehicle Routing Problem with Time Windows and Mixed Fleet (E-VRPTWMF) to optimize the routing of a mixed fleet of electric commercial vehicles (ECVs) and conventional internal combustion commercial vehicles (ICCVs). Contrary to existing routing models for ECVs, which assume energy consumption to be a linear function of traveled distance, we utilize a reali...

Abstract: Due to the energy savings and environmental protection they provide, plug-in electric vehicles (PEVs) are increasing in number quickly. Rapid development of PEVs brings new opportunities and challenges to the electricity distribution network’s dispatching. A high number of uncoordinated charging PEVs has significant negative impacts on the secure and economic operation of a distributi...

This paper proposes a novel neural model to the problem of short-term load forecasting. The neural model is made up of two self-organizing map nets — one on top of the other. It has been successfully applied to domains in which the context information given by former events plays a primary role. The model was trained and assessed on load data extracted from a Brazilian electric utility. It was ...

Medium-and-long-term load forecasting plays an important role in energy policy implementation and electric department investment decision. Aiming to improve the robustness and accuracy of annual electric load forecasting, a robust weighted combination load forecasting method based on forecast model filtering and adaptive variable weight determination is proposed. Similar years of selection is c...