Load forecasting is very essential to the operation of electricity companies. It enhances the energy-efficient and reliable operation of a power system. This study shows Electricity Load Forecasting modeling based on Framelet Neural Network Technique (FNN) for Baghdad City. Framelet technique is implemented to the time series data, decomposing the data into number of Framelet coefficient signal...

ADVERTISEMENT RETURN TO ISSUEEditorialNEXTBuilding Pathways to a Sustainable PlanetDavid T. AllenDavid AllenMore by David Allenhttps://orcid.org/0000-0001-6646-8755, Peter LicencePeter LicenceMore Licencehttps://orcid.org/0000-0003-2992-0153, Bala SubramaniamBala SubramaniamMore Subramaniamhttps://orcid.org/0000-0001-5361-1954, Paul AnastasPaul AnastasMore Anastashttps://orcid.org/0000-0003-477...

Metamaterials (MM) have been able to make their position strong in the world of electromagnetic in the past years. Researchers have come up with several novel shapes which behave as metamaterials. The characteristic parameters of permittivity ε and the permeability μ were extracted by doing several experimentations and found them to be negative. This paper presents such a new shape namely Criss...

Virtual power plant (VPP) is an effective approach to aggregate distributed generation resources under a central control. This paper introduces a mixed-integer linear programming model for optimal scheduling of the internal resources of a large scale VPP in order to maximize its profit. The proposed model studies the effect of a demand response (DR) program on the scheduling of the VPP. The pro...

This research has determined the carbon footprint or the carbon dioxide equivalent (CO2 eq) of potable water production from a groundwater recycling scheme, consisting of the Beenyup wastewater treatment plant, the Beenyup groundwater replenishment trial plant and the Wanneroo groundwater treatment plant in Western Australia, using a life cycle assessment approach. It was found that the scheme ...

Unlike existing studies focused on the causal relationship between electricity consumption and economic growth at the macro level, this paper uses monthly data from January 2006 to December 2015 and applies the correlation coefficient, as well as Kullback-Leibler (KL) divergence, to study the time difference relationship between sectoral electricity consumption and economic growth. The empirica...

ADVERTISEMENT RETURN TO ISSUEEditorialNEXTNew Guidelines for Presenting Electrochemical Data in All ACS JournalsShelley MinteerShelley MinteerMore by Shelley Minteerhttps://orcid.org/0000-0002-5788-2249, Jingguang ChenJingguang ChenMore Chenhttps://orcid.org/0000-0002-9592-2635, Song LinSong LinMore Linhttps://orcid.org/0000-0002-8880-6476, Cathleen CruddenCathleen CruddenMore Cruddenhttps://or...

The growing penetration of intermittent power generation technologies is increasing the importance of operating efficient electricity balancing mechanisms. This paper presents a model for analysing the financial cost to an electricity supplier when a power generator unexpectedly instantaneously shuts down, in the context of the UK National Grid. The simulation probabilistically selects historic...

Harvesting thermoelectric energy mainly relies on the Seebeck effect that utilizes a temperature difference between two ends of the device for driving the diffusion of charge carriers. However, in an environment that the temperature is spatially uniform without a gradient, the pyroelectric effect has to be the choice, which is based on the spontaneous polarization in certain anisotropic solids ...

This paper proposes a novel approach to measure and analyze the effect of temperature on electricity demand. This temperature effect is specified as a function of the density of temperatures observed at a high frequency with a functional coefficient, which we call the temperature response function. This approach contrasts with the usual approach to model the temperature effect as a function of ...