[HTML][HTML] Residential Demand Side Management model, optimization and future perspective: A review

S Panda, S Mohanty, PK Rout, BK Sahu, M Bajaj… - Energy Reports, 2022 - Elsevier
The residential load sector plays a vital role in terms of its impact on overall power balance,
stability, and efficient power management. However, the load dynamics of the energy …

Smart operations of smart grids integrated with distributed generation: A review

S Kakran, S Chanana - Renewable and Sustainable Energy Reviews, 2018 - Elsevier
In last few years, many countries in the world have shown huge interest in smart grid
technology. They are facing many challenges in the process of deployment of this …

Smart and practical privacy-preserving data aggregation for fog-based smart grids

S Zhao, F Li, H Li, R Lu, S Ren, H Bao… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
With the increasingly powerful and extensive deployment of edge devices, edge/fog
computing enables customers to manage and analyze data locally, and extends computing …

A survey on demand response in smart grids: Mathematical models and approaches

R Deng, Z Yang, MY Chow… - IEEE Transactions on …, 2015 - ieeexplore.ieee.org
The smart grid is widely considered to be the informationization of the power grid. As an
essential characteristic of the smart grid, demand response can reschedule the users' …

From demand response to transactive energy: state of the art

S Chen, CC Liu - Journal of Modern Power Systems and Clean …, 2017 - ieeexplore.ieee.org
This paper reviews the state of the art of research and industry practice on demand
response and the new methodology of transactive energy. Demand response programs …

Demand response management with multiple utility companies: A two-level game approach

B Chai, J Chen, Z Yang, Y Zhang - IEEE transactions on smart …, 2014 - ieeexplore.ieee.org
Demand Response Management (DRM) is a key component of the future smart grid that
helps to reduce power peak load and variation. Different from most existing studies that …

A distributed algorithm of appliance scheduling for home energy management system

P Chavali, P Yang, A Nehorai - IEEE Transactions on Smart …, 2014 - ieeexplore.ieee.org
Demand side management encourages the users in a smart grid to shift their electricity
consumption in response to varying electricity prices. In this paper, we propose a distributed …

Optimal use of incentive and price based demand response to reduce costs and price volatility

A Asadinejad, K Tomsovic - Electric Power Systems Research, 2017 - Elsevier
There are two general categories of demand response (DR): price-based and incentive-
based DR programs. Each one has its own benefits taking advantage of different aspects of …

Multi-level energy management systems toward a smarter grid: A review

S Hussain, CZ El-Bayeh, C Lai, U Eicker - IEEE Access, 2021 - ieeexplore.ieee.org
Home Energy Management Systems (HEMSs) may not be able to solve network issues,
especially in the presence of high penetration level of Electric Vehicles (EVs) and decentral …

Optimizing energy consumption patterns of smart home using a developed elite evolutionary strategy artificial ecosystem optimization algorithm

H Youssef, S Kamel, MH Hassan, L Nasrat - Energy, 2023 - Elsevier
In recent times, the tremendous progress in electronic devices and making them available to
all consumers has led to an increase in demand for energy, the formation of a peak, and an …