Demand Response Optimization for Smart Home Scheduling Under Real-Time Pricing
By Kai Man Tsui, Shing-Chow Chan. IEEE Transactions on Smart Grid, 2012
504 citations recorded by the source corpus.
Subfields: Control and Systems Engineering, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/8e430c85bbfb9caa5e80e78465d69c1a2be402c9
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Control and Systems Engineering
- João P. S. Catalão
- Nikolaos G. Paterakis
- Ozan Erdinc
- Eslam Al Hassan
- Azah Mohamed
- Nizar Zorba
- Christos V. Verikoukis
- Maytham S. Ahmed
In Electrical and Electronic Engineering
- João P. S. Catalão
- Nikolaos G. Paterakis
- Ozan Erdinc
- Eslam Al Hassan
- Azah Mohamed
- Nizar Zorba
- Christos V. Verikoukis
- Maytham S. Ahmed
Citations in the corpus
- Economic impacts of small-scale own generating and storage units, and electric vehicles under different demand response strategies for smart households (2014, unknown): “4 [23].”
- Optimal Household Appliances Scheduling Under Day-Ahead Pricing and Load-Shaping Demand Response Strategies (2015, background): “[11] and Tsui and Chan [12] developed an optimization strategy for the effective operation of a household with a price signal-based DR.”
- Automated Demand Response From Home Energy Management System Under Dynamic Pricing and Power and Comfort Constraints (2015, background): “This price formulation is completely general and includes the design in [9], [11], and [16] whose price is independent of the demand level (bk = ak) and in [10], [17], and [18] that use hard constraint on the total power demand.”
- A Survey on Demand Response Programs in Smart Grids: Pricing Methods and Optimization Algorithms (2015, background): “In the same way, the convex programming problem of cost minimization is relaxed in [176], so that it can be applied”
- Review on Home Energy Management System Considering Demand Responses, Smart Technologies, and Intelligent Controllers (2018, methodology): “An optimization approach was developed to minimize tariff for end users through effective operation of home appliances under different prices based on DR signals [115].”