A personalized home energy management system for residential demand response

Abstract

Demand Response (DR) and Time-of-Use (TOU) pricing refer to programs offering incentives to customers who reduce their energy use during times of peak demand. A demand response system coordinates the demand and supply between the energy provider and the customer. In this study, a turn-key solution is developed to offer demand response services for residential customers. A cognitive residential ANFIS-based Master Energy Controller (MEC) is developed to forecast future power demand based on user's life style and environmental/social factors affecting power consumption. The Master Energy Controller implements a branch and bound scheduling algorithm for managing appliance runtime schedules. The MEC is developed to provide users with functionality to schedule appliances at home and automate demand response strategies without the burden of learning demand response strategies. The MEC monitors and controls appliances through intelligent appliance controllers connected by a selforganizing zero configuration network --also developed in this study. This paper discusses the system architecture for this energy management system and shows that such a system is a viable platform for demand response.

Design and Implementation of an Interactive Interface for Demand Response and Home Energy Management Applications

“…As one of these tools, a HEM graphical user interface (GUI) was proposed by Pipattanasomporn et al [8] in order for consumers to monitor their detailed consumption values, comfort preferences and the defined demand limit. Ozturk et al [9] introduced a mobile phone-based management system which controls the appliances in a smart home considering time-of-use (ToU) electricity rates taken from a utility company. Fernandes et al [10] presented a user interface module that is capable of communicating with modern operating systems such as Windows and Android.…”

Towards the Handling Demand Response Optimization Model for Home Appliances

“…DR programs encourage residential, industrial and commercial consumers to change their way of consuming electricity in line with changes in electricity prices over the time horizon and at times of EPS overload [1][2][3].…”

Automated Residential Demand Response Based on Advanced Metering Infrastructure Network

“…Customers perform energy reduction during promised periods through smart home devices such as home energy management system (HEMS) control electric devices [15,16]. In addition, existing DR services are operating only in lab or a few buildings within the bounds of confined networks.…”