Dynamic Demand Response Controller Based on Real-Time Retail Price for Residential Buildings

By J. Yoon, Ross Baldick, A. Novoselac. IEEE Transactions on Smart Grid, 2014

336 citations recorded by the source corpus.

Subfields: Building and Construction, Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment

View Paper: https://www.semanticscholar.org/paper/c063bb1efa74da19c698e981963a4611b67ce93d

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Building and Construction

1. Nei Kato
2. Ming Zhou
3. Gengyin Li
4. Sibo Nan

In Electrical and Electronic Engineering

1. Ming Zhou
2. Nei Kato
3. Zubair Muhammad Fadlullah
4. Yuichi Kawamoto
5. Gengyin Li
6. Sibo Nan

In Renewable Energy, Sustainability and the Environment

1. Ming Zhou
2. Gengyin Li
3. Sibo Nan

Citations in the corpus

• Optimal residential community demand response scheduling in smart grid (2018, methodology): “[4,5] build DR control model for heating, ventilating and air conditioning (HVAC) system of one house.”
• A Survey on Network Methodologies for Real-Time Analytics of Massive IoT Data and Open Research Issues (2017, background): “Smart Grid Dynamic price modelling [82] [83], failure detection during generation, transmission and distribution [84] [85] Number of residence within an area and number of machine involve at generation, transmission and distribution unit Massive, time series, and event based data”