LOSISH—LOad Scheduling In Smart Homes based on demand response: Application to smart grids
Published 2022 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
LOSISH—LOad Scheduling In Smart Homes based on demand response: Application to smart grids
Authors
Keywords
-
Journal
APPLIED ENERGY
Volume 323, Issue -, Pages 119606
Publisher
Elsevier BV
Online
2022-07-20
DOI
10.1016/j.apenergy.2022.119606
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Fuzzy compromised solution-based novel home appliances scheduling and demand response with optimal dispatch of distributed energy resources
- (2021) Muhammad Waseem et al. APPLIED ENERGY
- Review analysis of COVID-19 impact on electricity demand for residential buildings
- (2021) Moncef Krarti et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Optimal energy management in the smart microgrid considering the electrical energy storage system and the demand-side energy efficiency program
- (2020) Sobhan Dorahaki et al. Journal of Energy Storage
- Progress on the demand side management in smart grid and optimization approaches
- (2020) Eity Sarker et al. INTERNATIONAL JOURNAL OF ENERGY RESEARCH
- A comparative review on mobile robot path planning: Classical or meta-heuristic methods?
- (2020) Mohd Nadhir Ab Wahab et al. ANNUAL REVIEWS IN CONTROL
- Efficient energy scheduling considering cost reduction and energy saving in hybrid energy system with energy storage
- (2020) Abderraouf Bouakkaz et al. Journal of Energy Storage
- An Artificial Intelligence based scheduling algorithm for demand-side energy management in Smart Homes
- (2020) Helder R.O. Rocha et al. APPLIED ENERGY
- Time Series ARIMA Model for Prediction of Daily and Monthly Average Global Solar Radiation: The Case Study of Seoul, South Korea
- (2019) Mohammed Alsharif et al. Symmetry-Basel
- Model predictive control for thermal energy storage and thermal comfort optimization of building demand response in smart grids
- (2019) Rui Tang et al. APPLIED ENERGY
- Optimized energy consumption model for smart home using improved differential evolution algorithm
- (2019) Ima O. Essiet et al. ENERGY
- Optimization methods for power scheduling problems in smart home: Survey
- (2019) Sharif Naser Makhadmeh et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Demand-side management in residential community realizing sharing economy with bidirectional PEV while additionally considering commercial area
- (2019) Pei-Hsuan Cheng et al. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
- Optimal residential community demand response scheduling in smart grid
- (2018) Sibo Nan et al. APPLIED ENERGY
- Microgrids energy management systems: A critical review on methods, solutions, and prospects
- (2018) Muhammad Fahad Zia et al. APPLIED ENERGY
- An Efficient Demand Side Management System with a New Optimized Home Energy Management Controller in Smart Grid
- (2018) Hafiz Hussain et al. Energies
- Optimal integration of a hybrid solar-battery power source into smart home nanogrid with plug-in electric vehicle
- (2017) Xiaohua Wu et al. JOURNAL OF POWER SOURCES
- An electrical load measurements dataset of United Kingdom households from a two-year longitudinal study
- (2017) David Murray et al. Scientific Data
- A new heuristically optimized Home Energy Management controller for smart grid
- (2017) Nadeem Javaid et al. Sustainable Cities and Society
- True real time pricing and combined power scheduling of electric appliances in residential energy management system
- (2016) Amir Anees et al. APPLIED ENERGY
- Residential power scheduling for demand response in smart grid
- (2016) Kai Ma et al. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
- A new perspective for sizing of distributed generation and energy storage for smart households under demand response
- (2015) Ozan Erdinc et al. APPLIED ENERGY
- Optimal scheduling of buildings with energy generation and thermal energy storage under dynamic electricity pricing using mixed-integer nonlinear programming
- (2015) Yuehong Lu et al. APPLIED ENERGY
- A Survey on Demand Response Programs in Smart Grids: Pricing Methods and Optimization Algorithms
- (2015) John S. Vardakas et al. IEEE Communications Surveys and Tutorials
- Demand side management in China: The context of China’s power industry reform
- (2015) Kaile Zhou et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Further exploring the potential of residential demand response programs in electricity distribution
- (2014) Cajsa Bartusch et al. APPLIED ENERGY
- Demand response and smart grids—A survey
- (2013) Pierluigi Siano RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Load Scheduling for Household Energy Consumption Optimization
- (2013) Alessandro Agnetis et al. IEEE Transactions on Smart Grid
- Demand Side Management: Demand Response, Intelligent Energy Systems, and Smart Loads
- (2011) Peter Palensky et al. IEEE Transactions on Industrial Informatics
- Modeling global residential sector energy demand for heating and air conditioning in the context of climate change
- (2008) Morna Isaac et al. ENERGY POLICY
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now