Power consumption behavior analysis based on cluster analysis

X Yuan, Q Cai, S Deng - International Symposium on Artificial …, 2021 - spiedigitallibrary.org
With the construction of smart grid, a large number of user-side power data has been
accumulated. This paper proposes a method for analyzing the user's power behavior based …

Optimal Energy Scheduling Considering Consumers Preference in a Smart Home

MB Toosi, HR Mashhadi - 2020 28th Iranian Conference on …, 2020 - ieeexplore.ieee.org
Residential buildings are estimated to have a significant percentage of energy consumption
in the world. Demand-side management (DSM) improves the grid stability by providing …

Optimal energy scheduling using genetic algorithm approach with consideration of consumer preferences in a residential smart home

D Isaac, A Kumar - AIP Conference Proceedings, 2024 - pubs.aip.org
In this paper, an optimization approach is brought forward for optimal energy scheduling in a
modern smart home. After the development of smart devices and their integration with smart …

LED lighting in Indonesian residential electricity sector: A user's behavior analysis for energy saving

YS Akil, S Mawar, S Mangngenre… - IOP Conference Series …, 2020 - iopscience.iop.org
Residential electricity demand can be influenced by the behavior of users. Therefore, it is
essential to know users' behaviors to reduce electricity consumption or for energy saving …

Optimal Energy Scheduling Using ANT Colony Approach with Consideration of Consumers Preferences in a Residential Smart Home

D Isaac, A Kumar - International Online Conference on Smart Grid Energy …, 2023 - Springer
In this paper, an optimization approach is brought forward for optimal energy scheduling in a
modern smart home. After the development of smart devices and their integration with smart …

[PDF][PDF] Design of a Load Management System to Minimize Electrical Consumption Peaks

T Sebekedi, J Bekker - academia.edu
This paper is an overview of a solution to the increasing electrical consumptions. The
solution proposed in this paper is a load management system that aims to reduce the peak …