A systematic survey on demand response management schemes for electric vehicles

R Kakkar, S Agrawal, S Tanwar - Renewable and Sustainable Energy …, 2024 - Elsevier
The unprecedented proliferation of electric vehicles is envisioned to revolutionize the
Intelligent Transportation System as an energy-efficient and environment-friendly alternative …

[HTML][HTML] A systematic review of modeling approaches for flexible energy resources

LP Wagner, LM Reinpold, M Kilthau, A Fay - Renewable and Sustainable …, 2023 - Elsevier
Due to increasing amounts of energy being supplied by intermittent renewable energy
sources, future energy systems need to be able to react flexibly to sudden changes. To …

[PDF][PDF] The Evolution Of Smart Grid Technologies: Integrating Renewable Energy Sources, Energy Storage, And Demand Response Systems For Efficient Energy …

SB Meena, PR Patil, SR Kandharkar… - Nanotechnology …, 2024 - researchgate.net
Smart grid technologies have advanced due to growing global need for efficient and more
sustainable energy systems. With the existing power grid structures experiencing problems …

Energy forecasting in smart grid systems: recent advancements in probabilistic deep learning

D Kaur, SN Islam, MA Mahmud… - IET Generation …, 2022 - Wiley Online Library
Energy forecasting plays a vital role in mitigating challenges in data rich smart grid (SG)
systems involving various applications such as demand‐side management, load shedding …

[HTML][HTML] Advancing renewable energy forecasting: A comprehensive review of renewable energy forecasting methods

R Teixeira, A Cerveira, EJS Pires, J Baptista - Energies, 2024 - mdpi.com
Socioeconomic growth and population increase are driving a constant global demand for
energy. Renewable energy is emerging as a leading solution to minimise the use of fossil …

Optimal demand-side management using flat pricing scheme in smart grid

FR Albogamy, Y Ashfaq, G Hafeez, S Murawwat… - Processes, 2022 - mdpi.com
This work proposes a framework to solve demand-side management (DSM) problem by
systematically scheduling energy consumption using flat pricing scheme (FPS) in smart grid …

Real-time load forecasting model for the smart grid using bayesian optimized CNN-BiLSTM

D Zhang, X Jin, P Shi, XY Chew - Frontiers in Energy Research, 2023 - frontiersin.org
A smart grid is a new type of power system based on modern information technology, which
utilises advanced communication, computing and control technologies and employs …

User-centric predictive demand-side management for nanogrids via machine learning and multi-objective optimization

A Kumar, B Yan - Electric Power Systems Research, 2023 - Elsevier
Due to the ongoing sustainability drives, nanogrids (NGs) are getting attention. Despite its
perceived advantages, NG's high load volatility poses a risk to the stability of the connected …

Digital twin application for reinforcement learning based optimal scheduling and reliability management enhancement of systems

J Zhou, M Yang, Y Zhan, L Xu - Solar Energy, 2023 - Elsevier
Increasing populations and economic expansion have substantially increased the energy
requirements of residential consumers. Energy storage system (ESS) and distributed …

Electric Vehicle Participation in Regional Grid Demand Response: Potential Analysis Model and Architecture Planning

Q Wang, X Yang, X Yu, J Yun, J Zhang - Sustainability, 2023 - mdpi.com
When a large-scale random charging load is connected to the regional power grid, it can
negatively affect the safe and stable operation of the power grid. Therefore, we need to study …