[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 …

A comprehensive review of recent advances in smart grids: A sustainable future with renewable energy resources

I Alotaibi, MA Abido, M Khalid, AV Savkin - Energies, 2020 - mdpi.com
The smart grid is an unprecedented opportunity to shift the current energy industry into a
new era of a modernized network where the power generation, transmission, and …

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 …

Fundamentals and business model for resource aggregator of demand response in electricity markets

X Lu, K Li, H Xu, F Wang, Z Zhou, Y Zhang - Energy, 2020 - Elsevier
Demand response (DR) is an effective means to help maintain the balance between power
supply and demand, promote energy conservation and emission reduction. Nevertheless …

A dynamic pricing demand response algorithm for smart grid: Reinforcement learning approach

R Lu, SH Hong, X Zhang - Applied energy, 2018 - Elsevier
With the modern advanced information and communication technologies in smart grid
systems, demand response (DR) has become an effective method for improving grid …

A survey on demand response programs in smart grids: Pricing methods and optimization algorithms

JS Vardakas, N Zorba… - … Surveys & Tutorials, 2014 - ieeexplore.ieee.org
The smart grid concept continues to evolve and various methods have been developed to
enhance the energy efficiency of the electricity infrastructure. Demand Response (DR) is …

Decentralized peer-to-peer energy trading strategy in energy blockchain environment: A game-theoretic approach

J Dong, C Song, S Liu, H Yin, H Zheng, Y Li - Applied Energy, 2022 - Elsevier
With the proposed concept of energy blockchain, peer-to-peer (P2P) energy trading
between prosumers is regarded as a potential way for future power market development …

Electricity trading pricing among prosumers with game theory-based model in energy blockchain environment

Y Jiang, K Zhou, X Lu, S Yang - Applied Energy, 2020 - Elsevier
As the application of blockchain expands from finance field to energy field, the concept of
“energy blockchain” has been proposed. In energy blockchain environment, the peer-to …

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 …

A real-time demand-response algorithm for smart grids: A stackelberg game approach

M Yu, SH Hong - IEEE Transactions on smart grid, 2015 - ieeexplore.ieee.org
This paper proposes a real-time price (RTP)-based demand-response (DR) algorithm for
achieving optimal load control of devices in a facility by forming a virtual electricity-trading …