according to the importance of careful review of crude oil market fluctuations on the iranian economy, in this paper a multivariate model of markov switching vector error correction model (have been used). variables such as real gross domestic product in industrial sector, real effective exchange rate, real governmental expenditure, real import, inflation rate and real crude oil price is used t...

Residential heating, ventilation and air conditioning (HVAC) provides important demand response resources for the new power system with high proportion of renewable energy. HAVC scheduling strategies that adapt to real-time electricity price signals formulated by program ambient temperature can significantly reduce costs while ensuring occupants' comfort. However, since pricing process weather ...

Time-of-use and real-time spot pricing tariffs in conjunction with direct load control of water heaters was offered to residential electricity consumers in a large-scale demand response experiment. Hourly data from the experiment on consumption, temperature, wind, and hours of daylight comprise a large panel data set, which are analysed with a fixed effects regression model. Price responses are...

This study uses a hedonic property price function to estimate the effects of flood hazards on residential property values. The study utilizes data from over 8,000 single-family residential home sales in Pitt County, North Carolina between 1992 and 2002. This area experienced significant flooding from Hurricane Floyd in September 1999. Results show that a house located within a floodplain has a ...

The state of Singapore operates a national public housing program, accounting for over 80% of its residential real estate. Singapore uses its housing allocation program to ensure ethnic diversity in its neighborhoods; it does so by imposing ethnic quotas: every ethnic group must not own more than a certain percentage in a housing project, thus ensuring that every neighborhood contains members f...

We present an interactive demo that illustrates the performance of our multi-agent-based system for trading ’green’ energy. The system implements the NRG-X-Change concept and uses real-life data for energy consumption. NRGX-Change encourages prosumers to locally trade their excess of energy while payments are carried out using NRGcoins, which is a novel decentralized digital currency. We illust...