Appliance Commitment for Household Load Scheduling

By Pengwei Du, Ning Lu. IEEE Transactions on Smart Grid, 2011

630 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/9e78fe281e2ab2be9e44b501a23f0b81a01cc0a9

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. Jianhui Wang
2. C. Long
3. Lei Wu
4. Jianzhong Wu
5. Yue Zhou
6. Johanna L. Mathieu
7. Chengshan Wang
8. Gordon K. Lee

Citations in the corpus

• Peer-to-Peer Energy Systems for Connected Communities: A Review of Recent Advances and Emerging Challenges (2020, neutral): “of flexible loads [79].”
• 5G network-based Internet of Things for demand response in smart grid: A survey on application potential (2020, background): “In [17–20], the authors propose that thermostatically controlled loads are able to provide balancing services under the constraint of guaranteeing user comforts.”
• An Intelligent Home Energy Management System to Improve Demand Response (2013, background): “In [26], an appliance commitment algorithm that schedules thermostatically controlled appliances based on user comfort settings and price consumption forecasts is proposed.”
• Residential Demand Response: Dynamic Energy Management and Time-Varying Electricity Pricing (2016, neutral): “Du and Lu [33] propose an algorithm to”
• Real-Time Price-Based Demand Response Management for Residential Appliances via Stochastic Optimization and Robust Optimization (2012, background): “The thermal behavior of an EWH can be approximately described as a set of linear equations with the assumption that temperature in hot water tanks is constant [21], [22].”
• Peer-to-Peer energy trading in a Microgrid (2018, methodology): “This way of dealing with flexible demands is commonly used in many existing studies such as [24,25].”
• A Survey on Demand Response Programs in Smart Grids: Pricing Methods and Optimization Algorithms (2015, methodology): “In addition, an appliance commitment algorithm is presented in [166] and solved with a multiple-looping algorithm and enhanced by a linear sequential optimization process.”
• Load Profiles of Selected Major Household Appliances and Their Demand Response Opportunities (2014, background): “Many recent publications present a variety of algorithms for appliance-level demand response [2]–[8].”
• MPC-Based Appliance Scheduling for Residential Building Energy Management Controller (2013, background): “presented a cost minimization problem for electric water heater (EWH) scheduling considering the thermodynamics of water heating systems and customers’ preferences [9].”
• Optimal scheduling of aggregated thermostatically controlled loads with renewable generation in the intraday electricity market (2017, methodology): “Table 1 Thermal parameters of the electric water heaters [29].”
• State Estimation and Control of Electric Loads to Manage Real-Time Energy Imbalance (2013, background): “, [17], [26], and verified against real populations of TCLs [26]–[29]:”