Collecting and analysing timely and accurate information about the quality of care that is delivered to older people in residential homes is a challenge. Most current approaches to collecting this information are manual, and add time, cost and human error to them. Interactive digital technologies have the potential to reduce the time consumed, cost and errors in these processes, which in turn c...

Residential applications including home control, alarm systems, and monitoring services is an area in which pervasive computing systems are currently emerging. One problem facing technology and service providers is getting a view on and analysis of technological and commercial problems and opportunities. As a step towards that, we present an analysis and evaluation of a widely-used setup for re...

Residential water demand is a function of several factors, some of which are within the control of water utilities (e.g., price, water restrictions, rebate programs) and some of which are not (e.g., climate and weather, demographic characteristics). In this study of Aurora, Colorado, factors influencing residential water demand are reviewed during a turbulent drought period (2000-2005). Finding...

We use Bayesian methods to estimate a multi-factor linear asset pricing model characterized by structural instability in factor loadings, idiosyncratic variances, and factor risk premia. We use such a framework to investigate the key differences in the pricing mechanism that applies to residential vs. non-residential (such as office space, industrial buildings, retail property) REITs. Under the...

This article attempts to examine the factors affecting residential electricity consumption through two approaches, a socioeconomic perspective and a direct use perspective. The results of this study find that gross domestic product (GDP), employment rates, residential space, and the implementation of energy labeling schemes provide significant impacts on residential electricity consumption. How...

Over 21,000 future California residential wildfire risk scenarioswere developed on amonthly 1/8° grid, using statistical wildfire models. We explore interactions between two global emissions scenarios, three climate models, six spatially explicit population growth scenarios derived from two growth models, and a range of parameters defining properties’ vulnerability to loss. Scenarios are evalua...

Residential demand response (DR) has gained a significant increase in interest from industrial and academic communities as a means to contribute to more efficient operation of smart grids, with numerous techniques proposed to implement residential DR programmes. However, the proposed techniques have been evaluated in scenarios addressing different types of electrical devices with different ener...

BACKGROUND Understanding how built environment characteristics influence recreational walking is of the utmost importance to develop population-level strategies to increase levels of physical activity in a sustainable manner. PURPOSE This study analyzes the residential and non-residential environmental correlates of recreational walking, using precisely geocoded activity space data. METHODS...

Energy efficiency is likely to influence the characteristics and magnitude of residential energy demand in the future. In particular, improved thermal insulation, patterns of appliance ownership, and turnover of housing stock will change the residential energy landscape. The economics of residential micro combined heat and power (micro-CHP) a technology to provide heat and some electricity to i...

Power consumption of household appliances has become a growing problem in recent years because of increasing load density in the residential sector. Improving the efficiency, reducing energy and use of building integrated renewable energy resources are the major key for home energy management. This paper focuses on the development of simulation models for two appliances, namely, an electric wat...