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 …

[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 …

Control and optimisation of power grids using smart meter data: A review

Z Chen, AM Amani, X Yu, M Jalili - Sensors, 2023 - mdpi.com
This paper provides a comprehensive review of the applications of smart meters in the
control and optimisation of power grids to support a smooth energy transition towards the …

A comprehensive overview on demand side energy management towards smart grids: challenges, solutions, and future direction

MS Bakare, A Abdulkarim, M Zeeshan, AN Shuaibu - Energy Informatics, 2023 - Springer
Demand-side management, a new development in smart grid technology, has enabled
communication between energy suppliers and consumers. Demand side energy …

Integrating smart energy management system with internet of things and cloud computing for efficient demand side management in smart grids

MU Saleem, M Shakir, MR Usman, MHT Bajwa… - Energies, 2023 - mdpi.com
The increasing price of and demand for energy have prompted several organizations to
develop intelligent strategies for energy tracking, control, and conservation. Demand side …

Internet of things and cloud computing‐based energy management system for demand side management in smart grid

SA Hashmi, CF Ali, S Zafar - International Journal of Energy …, 2021 - Wiley Online Library
A smart grid is an electricity network, which deals with electronic power conditioning and
control of production, transmission, and distribution of electrical power by employing digital …

[HTML][HTML] Optimal participation of prosumers in energy communities through a novel stochastic-robust day-ahead scheduling model

M Tostado-Véliz, AR Jordehi, D Icaza… - International Journal of …, 2023 - Elsevier
With the advent of smart grids, novel businesses like energy communities are becoming
more frequent, thus enabling alternative energy transactions for smart prosumers like peer …

Prospects and challenges of the machine learning and data-driven methods for the predictive analysis of power systems: A review

W Strielkowski, A Vlasov, K Selivanov, K Muraviev… - Energies, 2023 - mdpi.com
The use of machine learning and data-driven methods for predictive analysis of power
systems offers the potential to accurately predict and manage the behavior of these systems …

The future energy internet for utility energy service and demand-side management in smart grid: Current practices, challenges and future directions

K Parvin, MA Hannan, LH Mun, MSH Lipu… - Sustainable Energy …, 2022 - Elsevier
The energy internet (EI) integrated with smart grid (SG) has been a growing and emerging
technology that manages and controls towards reliability, security, data integrity, demand …

IoT and big data applications in smart cities: recent advances, challenges, and critical issues

M Talebkhah, A Sali, M Marjani, M Gordan… - IEEE …, 2021 - ieeexplore.ieee.org
The notion of smart cities has remained under evolution as its global implementations are
challenged by numerous technological, economic, and governmental obstacles. Moreover …