The convergence of hydrogen energy with artificial intelligence (AI) in smart infrastructure
has significant potential to revolutionise the worldwide energy sector. This article thoroughly …

Electricity consumption is increasing rapidly, and the limited availability of natural resources
necessitates efficient energy usage. Predicting and managing electricity costs is …

Intelligent predictive models are fundamental in peer-to-peer (P2P) energy trading as they
properly estimate supply and demand variations and optimize energy distribution, and the …

The smart grid is an innovation that employs two-way communications to give innovative
services to end consumers. Due to the severe contradictions in this connection, this system …

The placement of routers and gateways in wireless communication networks for Smart Grid
Advanced Metering Infrastructure (AMI) is a complex problem often addressed in the …

Urban areas are increasingly pivotal in the global transition towards sustainable energy,
driven by rapid urbanization and environmental imperatives. This paper explores the …

The Pareto distribution plays an important role in many data analysis tasks. An important
aspect of this distribution is the estimation of its parameters. Several studies use classical …

This research introduces a groundbreaking strategy for urban microgrid (MG) management
and social economics, focusing on enhancing energy efficiency, reliability, and steering …

The construction industry, characterized by its intricate processes and extensive stakeholder
networks, stands at the cusp of a digital revolution. The adoption of blockchain-smart …

In the smart grid, it is critical to collect dynamic and time-dependent information on energy
demand and consumption and compare it to current supply conditions. The decentral smart …