Bonus-Based Demand Response Using Stackelberg Game Approach for Residential End-Users Equipped With HVAC System

A Stackelberg Game Theory Approach

In the Long Term Evolution-Advanced (LTE-A) system, Device-to-device (D2D) communication underlying cellular networks can bring some advantages such as high data rates, low delay, low power consumption by reusing frequency bands with cellular user equipments (UEs). While at the same time, inter-cell and intra-cell interference is inevitable. The D2D users and cellular UEs will compete or cooper...

Simulation of Residential Hvac System Performance

ANN-based residential water end-use demand forecasting model

Bottom-up urban water demand forecasting based on empirical data for individual water end uses or micro-components (e.g., toilet, shower, etc.) for different households of varying characteristics is undoubtedly superior to top-down estimates originating from bulk water metres that are currently performed. Residential water end-use studies partially enabled by modern smart metering technologies ...

A Distributed Scheme for Incentive-based Residential Demand Response

Demand response (DR) enables customers to adjust their electricity usage to balance supply and demand. Although commercial and industrial DR have been in use for decades, residential DR is still emerging. The goal of this paper is to design a DR scheme for residential customers. We consider households operating various appliances and propose a distributed DR scheme to manage the appliances to k...

Residential Demand Response under Uncertainty

This paper considers a residential market with real-time electricity pricing and flexible electricity consumption profiles for customers. Such a market raises an optimisation problem for home automation systems where they need to schedule consumption activities to reduce costs, whilst maintaining a base level of comfort and convenience. This optimisation problem faces uncertainty in real-time p...