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Emerging smart meter technologies allow energy retailers to monitor individual's consumption in real time. Efforts have been made in mining, modelling and manipulating those time series data for large number of applications, such as demand forecasting, user profiling or household appliance identification. This paper, however, focuses on modelling spikes in power usage for load profiling. This is a...
Smart grids are electric networks that employ advanced monitoring, control, and communication technologies to deliver reliable and secure energy supply, enhance operation efficiency for generators and distributors, and provide flexible choices for prosumers. Smart grids are a combination of complex physical network systems and cyber systems that face many technological challenges. In this paper, we...
As the key technology of green energy, smart grid is allowing large amounts of electric loads plug in such as wind turbines, solar panels and plug-in hybrid electric vehicles (PHEVs). Compared to the developments of wind turbines and solar panels, the deployment of PHEVs is much behind as expected. The main barriers of PHEV deployment are the huge impacts of power distribution networks and charging...
Designing power transformers and magnetic components is well recognized as a highly complicated process because of the large number of design variables, component alternatives and mutual dependencies that have to be considered. Therefore, today's power magnetic design processes heavily utilise computers, to shorten the development cycle and save the costs. A significant number of studies have been...
Multi-agent systems are ubiquitous in the world. Recently, multi-agent systems have received increasing attention from mathematics, physics, engineering sciences, and social science communities. This paper firstly introduces several fundamental concepts and then reviews several representative models of multi-agent systems, including the Boids model, Vicsek model, Couzin-Levin model and its invariants,...
This paper revisits a traditional Ant Foraging algorithm and proposes a Cluster-based Softbots algorithm to address the performance issues caused by constraints of random autonomous search featured in most swarm intelligence-based algorithms. A simple hierarchy is introduced to regulate the unfolding of dynamically changing swarm-like behaviors. Comparative experiments for Ant Foraging and the proposed...
A knowledge based engineering system, CFDLearner, which automatically learns results from a number of CFD simulations with a neural network is enhanced to automatically determine the optimum grid resolution where grid independence is found. Simulations are thereafter able to be run at a combination of the optimum grid resolution and lower grid resolutions to decrease the time spent on some simulations...
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