Optimal collaborative demand-response planner for smart residential buildings

Demand Response and Energy Storage for Zero Energy Residential Buildings

The EU climate and energy targets and the decreasing costs have been leading to a growing utilization of solar photovoltaic generation in residential buildings. However, even in buildings with the same level of yearly generation and consumption the mismatch between the demand and the photovoltaic generation profiles leads to high power flows between the household and the grid, which is an ineff...

Data - Driven Baseline Estimation of Residential Buildings for Demand Response †

The advent of advanced metering infrastructure (AMI) generates a large volume of data related with energy service. This paper exploits data mining approach for customer baseline load (CBL) estimation in demand response (DR) management. CBL plays a significant role in measurement and verification process, which quantifies the amount of demand reduction and authenticates the performance. The prop...

Modeling Housing Demand for New Residential Buildings in Urban Areas

T his study investigates the factors affecting the demand for new residential buildings in urban areas of Iran during 1976-2010. The demand function for new residential buildings in urban areas was estimated and then the existence of a long-run relationship among variables of this function was studied using the Bounds testing of the Autoregressive Distributed Lag Co-integration procedure. The t...

Smart Control of Residential Buildings

Optimal Demand Response for Distribution Feeders with Existing Smart Loads

Load characteristics play an important role in distribution systems, which are traditionally designed to supply peak load; hence, decreasing this peak can considerably reduce overall grid costs. Basic components of smart grids such as smart meters allow two-way communication between the utilities and customers; in this context, controllable smart loads are being introduced, which allow developi...