Scheduling Power Consumption With Price Uncertainty

By Tùng T. Kim, H. Vincent Poor. IEEE Transactions on Smart Grid, 2011

301 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/2a29c5fc83df57d819201a3dec484cd472269db7

How researchers see this paper

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

In Electrical and Electronic Engineering

1. Matteo Muratori
2. Lei Wu
3. W. Lee
4. Yoan Shin
5. Mo-Yuen Chow
6. Yong Fu
7. Shiyan Hu
8. Xiaodao Chen

Citations in the corpus

• Real-Time Price-Based Demand Response Management for Residential Appliances via Stochastic Optimization and Robust Optimization (2012, background): “Maximum power level of appliance .”
• An Optimal Power Scheduling Method for Demand Response in Home Energy Management System (2013, background): “Index Terms—Demand response, energy management system, genetic algorithm, inclining block rate, real-time pricing, smart grid.”
• A Survey on Demand Response in Smart Grids: Mathematical Models and Approaches (2015, background): “Due to the future price uncertainty, the problem of energy consumption scheduling to minimize the electricity bill of a whole day is naturally cast as a Markov decision process [81].”
• Residential Demand Response: Dynamic Energy Management and Time-Varying Electricity Pricing (2016, methodology): “[32] use stochastic dynamic programming to solve an appliance”
• Uncertainty-Aware Household Appliance Scheduling Considering Dynamic Electricity Pricing in Smart Home (2013, background): “Each smart meter includes a scheduling unit which implements the workload shifting mentioned above.”