Nonintrusive load monitoring (NILM) is a technique for deducing the power consumption and operational schedule of individual loads in a building from measurements of the overall voltage and current feeding it, using information and communication technologies. In this article, we review the potential of this technology to enhance residential electricity audits. First, we review the currently com...

Abstract This study presents the development, analysis and assessment of residential lighting load profile using computational intelligence based modelling Adaptive Neuro Fuzzy Inference System (ANFIS) and Neural network (NN) models for prediction (forecasting) and evaluation of lighting load and initiatives. Factors considered in the development of the models include natural lighting, occupanc...

In recent years, intelligent building systems have become standard in residential buildings as well as commercial buildings. This chapter presents a novel system for controlling such buildings using natural user interfaces. Due to advanced logic, it is capable of identifying people occupying defined areas and recognizing their gestures. The system cooperates with a Domatiq System – Intelligent ...

Resilience is often regarded as an attribute of communities rather than of individual buildings, bridges and other civil infrastructure facilities. Previous research to support development of resilient infrastructure has considered, for the most part, actions and policies to achieve resilience objectives at the community level. While it is clear that a community cannot be resilient without resi...

This paper introduces a method of making 3D models of buildings in a 2D residential digital map, and refining the building data in the digital map. The range image of the streets acquired by line scan laser scanners that moves in the streets is used. The pattern lines of the range image are determined using edge detection or depth analysis. Then these pattern lines are matched with pattern line...

In this paper, object-oriented image analysis, on the basis of eCognition, is used to classify an IKONOS-2 image together with data derived from an aerial laser scanner. After the initial classification of different land cover types, a subset containing only buildings was integrated with zoning as well as population data. Zoning data was used to assign the classified buildings to different land...

Disastrous accidents (fire, chemical releases, earthquake, terrorist attacks, etc) in large public and residential buildings (discotheques, cafes, trade and industrial buildings) usually result in tragic consequences for people and environments. Such accidents have clearly showed that need for reliable systems supporting rescue operations is urgently appealing. Amongst all, giving appropriate i...

This study examines the impact of habitat choices and householder migration on Interbuilding Vertical segregation in Whitechapel, a diverse inner-city neighbourhood in London. For migrants living in this absorption area, the need for a sense of belonging and continuity leads to the development of micro mechanism that improve the individuals’ ability to cope with the urban challenges. Based on r...