Fully Electric Vehicles (FEVs) hold the promise, if widely adopted, of drastically reducing carbon emissions from surface transport and could, therefore, form a major thrust in the global efforts to meet the emissions reduction targets. In the UK, the effect of widespread adoption of FEVs would be manageable on the electricity grid at the 132kV level, but the same is not true for the local dist...

Massive MIMO is a promising technique to meet the exponential growth of mobile traffic demand. However, contrary to the current systems, energy consumption of next generation networks is required to be load adaptive as the network load varies significantly throughout the day. In this paper, we propose a load adaptive multi-cell massive MIMO system where each base station (BS) adapts the number ...

BACKGROUND & OBJECTIVES Although the need for a combination of antiepileptic drugs (AEDs) in the treatment of epilepsy is well justified, but an associated increase in adverse effects (AEs) lends a restriction to polytherapy. The aim of this study was to evaluate AEs and drug load (prescribed daily dose/defined daily doses) of AEDs in patients with epilepsy (PWE). METHODS Consecutive PWEs att...

Abstract Forecasting electrical energy demand and consumption is one of the important decision-making tools in distributing companies for making contracts scheduling and purchasing electrical energy. This paper studies load consumption modeling in Hamedan city province distribution network by applying ESN neural network. Weather forecasting data such as minimum day temperature, average day temp...

Abstract Electric vehicle charging increases the grid-side load, and safety economy of grid operation are affected. First, we consider influence climatic factors on EV simulate daily load profile under disorderly using Monte Carlo method. Then, elite selection is proposed in context traditional algorithms to establish a dual-objective optimization model with minimum peak-to-valley difference si...

This paper concerns the impacts of the meteorological data, the choice of the load profile, and the time simulation (1 to 11 years) on the energy flows and on the H2/O2/H2O storage sizing in a PV/FC/EL hybrid system (PEPITE project). The simulations were computed with the ORIENTE software. 4 load profiles have been investigated (3 diurnal and 1 nocturnal) with an identical daily consumption (26...

BACKGROUND Postprandial lipemia is associated with endothelial dysfunction. Remnant-like particles (RLP) have been suggested to contribute to these adverse vascular effects. We investigated the effect of cerivastatin and gemfibrozil upon oral fat load induced changes in endothelial function and postprandial lipid profile in vivo. METHODS In a randomized cross-over trial, 15 healthy volunteers...

-Artificial neural network (ANN) has been used for many years in sectors and disciplines like medical science, defence industry, robotics, electronics, economy, forecasts, etc. The learning property of ANN in solving nonlinear and complex problems called for its application to forecasting problems. This report present the development of an ANN based short-term load forecasting model for the 132...