An integer linear programming based optimization for home demand-side management in smart grid

By Ziming Zhu, Jie Tang, S. Lambotharan, Woon Hau Chin, Zhong Fan. IEEE PES Innovative Smart Grid Technologies Conference, 2012

296 citations recorded by the source corpus.

Subfields: Control and Systems Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/ec47873194a900e57210a255cffdf499b7449294

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

1. João P. S. Catalão
2. Nizar Zorba
3. Christos V. Verikoukis
4. Pierluigi Siano
5. John S. Vardakas

In Electrical and Electronic Engineering

1. João P. S. Catalão
2. M. Shafie‐khah
3. Nizar Zorba
4. Christos V. Verikoukis
5. Vincenzo Loia
6. Pierluigi Siano
7. John S. Vardakas

Citations in the corpus

• A Review of Smart Cities Based on the Internet of Things Concept (2017, methodology): “Applying these methods will lead to reliability improvement, power quality enhancement and profit growth [60].”
• A Survey on Demand Response Programs in Smart Grids: Pricing Methods and Optimization Algorithms (2015, methodology): “Optimal daily load scheduling is also achieved in [196] through an ILP technique, which is solved by using the Branch and Bound method.”
• Real-Time Price-Based Demand Response Management for Residential Appliances via Stochastic Optimization and Robust Optimization (2012, unknown): “Large positive number.”