Overview of smart grid implementation: Frameworks, impact, performance and challenges

MA Judge, A Khan, A Manzoor, HA Khattak - Journal of Energy Storage, 2022 - Elsevier
High consumption and ever-increasing demand for electricity at commercial, residential, and
industrial levels have attracted the research community to look for new technologies for the …

Internet of things applications as energy internet in smart grids and smart environments

Y Kabalci, E Kabalci, S Padmanaban, JB Holm-Nielsen… - Electronics, 2019 - mdpi.com
Energy Internet (EI) has been recently introduced as a new concept, which aims to evolve
smart grids by integrating several energy forms into an extremely flexible and effective grid …

A hybrid load forecasting model based on support vector machine with intelligent methods for feature selection and parameter optimization

Y Dai, P Zhao - Applied energy, 2020 - Elsevier
Accurate power load forecasting contributes to guaranteeing safe dispatch and stable
operation of a power system. As a great forecasting tool, support vector machine is widely …

Research and application of wireless sensor network technology in power transmission and distribution system

J Liu, Z Zhao, J Ji, M Hu - Intelligent and Converged Networks, 2020 - ieeexplore.ieee.org
Power is an important part of the energy industry, relating to national economy and people's
livelihood, and it is of great significance to ensure the security and stability in operation of …

Optimal integration of a hybrid solar-battery power source into smart home nanogrid with plug-in electric vehicle

X Wu, X Hu, Y Teng, S Qian, R Cheng - Journal of power sources, 2017 - Elsevier
Hybrid solar-battery power source is essential in the nexus of plug-in electric vehicle (PEV),
renewables, and smart building. This paper devises an optimization framework for efficient …

A novel smart energy theft system (SETS) for IoT-based smart home

W Li, T Logenthiran, VT Phan… - IEEE Internet of Things …, 2019 - ieeexplore.ieee.org
In the modern smart home, smart meters, and Internet of Things (IoT) have been massively
deployed to replace traditional analogue meters. It digitalises the data collection and the …

Deep reinforcement learning for economic dispatch of virtual power plant in internet of energy

L Lin, X Guan, Y Peng, N Wang… - IEEE Internet of …, 2020 - ieeexplore.ieee.org
With the high penetration of large-scale distributed renewable energy generation, the power
system is facing enormous challenges in terms of the inherent uncertainty of power …

Implemented IoT-based self-learning home management system (SHMS) for Singapore

W Li, T Logenthiran, VT Phan… - IEEE Internet of Things …, 2018 - ieeexplore.ieee.org
Internet of Things makes deployment of smart home concept easy and real. Smart home
concept ensures residents to control, monitor, and manage their energy consumption …

Bi-level carbon trading model on demand side for integrated electricity-gas system

Z Yan, C Li, Y Yao, W Lai, J Tang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
With the exploration of deep decarbonization around the world, it has become a broad
consensus that the carbon trading mechanism can promote the low-carbon operation of the …

Game-Theory based dynamic pricing strategies for demand side management in smart grids

D Srinivasan, S Rajgarhia, BM Radhakrishnan… - Energy, 2017 - Elsevier
With the increasing demand for electricity and the advent of smart grids, developed countries
are establishing demand side management (DSM) techniques to influence consumption …