A major goal of smart grid technology (e.g., smart meters) is to provide consumers with demand response signals such as electricity tariff and CO2 footprint so that the consumers can consciously control their electricity consumption patterns. These demand response signals provide incentives for the consumers to help reduce peak energy demand by load balancing, as this is particularly relevant i...

Characterization and evaluation of a biological submerged filter was carried out on a full-scale pilot plant performing removal of biochemical oxygen demand (BOD) and total nitrogen (TN) from pre-treated urban wastewater. The average influent values of BOD5, chemical oxygen demand (COD) and TN were 370, 1,015 and 60 mg/L, respectively. The pilot plant produced good discharge quality during stea...

For my final project I study the (nonparametric) unit demand pricing problem from a parametrized perspective. For instances with n items and m customers we give O(m) and O(n) algorithms respectively. We then investigate a price restricted variant of UDP called UDP-PS, and show the problem is fixed parameter tractable when the parameter is the number of customers.

This paper concerns the solution of demand versions of interprocedural analysis problems. In a demand version of a program-analysis problem, some piece of summary information (e.g., the dataflow facts holding at a given point) is to be reported only for a single program element of interest (or a small number of elements of interest). Because the summary information at one program point typicall...

in this paper, the residential demand for electricity equation is specified and then this equation is estimated using a pooling data for period 1983-90. the results of study for different regions of province show that the demand is less elastic with respect to average price of electricity and residential area, .but it is more elastic with respect to income and average number of households. thes...

We study a dynamic pricing problem for a company that sells a single product to a group of customers over a finite time horizon. These customers are price sensitive and the price of today influences the group of customers of tomorrow. The objective is to set the prices over time so as to maximize revenue. We study two customer models: a multiplicative and an additive model. Our main contributio...

Due to the increasing spread of residential heating systems electrically powered, buildings show a great potential in producing demand side management strategies addressing their thermal loads. Indeed, exploiting intrinsic characteristics heating/cooling (i.e. inertia level), could represent an interesting solution reduce electricity peak and optimize balance between supply. The objective this ...