[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 …

Progress on the demand side management in smart grid and optimization approaches

E Sarker, P Halder… - … Journal of Energy …, 2021 - Wiley Online Library
The integration of demand side management (DSM) with smart grid (SG) can facilitate
residents' transfer into smart homes and sustainable cities by reducing the carbon emission …

Intelligent multi-microgrid energy management based on deep neural network and model-free reinforcement learning

Y Du, F Li - IEEE Transactions on Smart Grid, 2019 - ieeexplore.ieee.org
In this paper, an intelligent multi-microgrid (MMG) energy management method is proposed
based on deep neural network (DNN) and model-free reinforcement learning (RL) …

Deep reinforcement learning for vehicular edge computing: An intelligent offloading system

Z Ning, P Dong, X Wang, JJPC Rodrigues… - ACM Transactions on …, 2019 - dl.acm.org
The development of smart vehicles brings drivers and passengers a comfortable and safe
environment. Various emerging applications are promising to enrich users' traveling …

False data injection on state estimation in power systems—Attacks, impacts, and defense: A survey

R Deng, G Xiao, R Lu, H Liang… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
The accurately estimated state is of great importance for maintaining a stable running
condition of power systems. To maintain the accuracy of the estimated state, bad data …

Home energy management system concepts, configurations, and technologies for the smart grid

U Zafar, S Bayhan, A Sanfilippo - IEEE access, 2020 - ieeexplore.ieee.org
Home energy management systems (HEMSs) help manage electricity demand to optimize
energy consumption and distributed renewable energy generation without compromising …

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' …

Demand side management through load shifting in IoT based HEMS: Overview, challenges and opportunities

S Sharda, M Singh, K Sharma - Sustainable Cities and Society, 2021 - Elsevier
In smart grid era, demand side management (DSM) plays an indispensable role in
development of sustainable cities and societies. This paper presents practical challenges …

A survey on home energy management

J Leitao, P Gil, B Ribeiro, A Cardoso - IEEE Access, 2020 - ieeexplore.ieee.org
Energy is a vital resource for human activities and lifestyle, powering important everyday
infrastructures and services. Currently, pollutant and non-renewable sources, such as fossil …

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 …