Digital transformation of microgrids: a review of design, operation, optimization, and cybersecurity

E Irmak, E Kabalci, Y Kabalci - Energies, 2023 - mdpi.com
This paper provides a comprehensive review of the future digitalization of microgrids to meet
the increasing energy demand. It begins with an overview of the background of microgrids …

[HTML][HTML] Forty years in the making: A systematic review of the megatrends literature

CK Naughtin, E Schleiger, A Bratanova, A Terhorst… - Futures, 2024 - Elsevier
Four decades ago, the concept of megatrends was introduced by John Naisbitt (1929-2021).
The popular tool has since been adopted by researchers, consultants, private enterprises …

Energy digitalization: Main categories, applications, merits, and barriers

AG Olabi, MA Abdelkareem, H Jouhara - Energy, 2023 - Elsevier
Increased consumption of fossil fuels has contributed to a rise in abnormal weather
conditions. Utilizing renewable energy sources is one of the most effective methods for …

Nonlinear relationship between digitization and energy efficiency: Evidence from transnational panel data

B Lin, C Huang - Energy, 2023 - Elsevier
Improving energy efficiency is crucial for reducing energy consumption and carbon
emissions. Energy efficiency is thought to be greatly improved by digital technology …

[HTML][HTML] Electrification and digitalization effects on sectoral energy demand and consumption: A prospective study towards 2050

X Li, D Lepour, F Heymann, F Maréchal - Energy, 2023 - Elsevier
Energy transition is blurring the boundaries between the demand and supply sides with
growing participation of prosumer resources. The intensifying pace of electrification and …

[HTML][HTML] Multi-agent reinforcement learning for electric vehicle decarbonized routing and scheduling

Y Wang, D Qiu, Y He, Q Zhou, G Strbac - Energy, 2023 - Elsevier
Low-carbon transitions require joint efforts from electricity grid and transport network, where
electric vehicles (EVs) play a key role. Particularly, EVs can reduce the carbon emissions of …

[HTML][HTML] Reviewing 40 years of artificial intelligence applied to power systems–A taxonomic perspective

F Heymann, H Quest, TL Garcia, C Ballif, M Galus - Energy and AI, 2024 - Elsevier
Artificial intelligence (AI) as a multi-purpose technology is gaining increased attention and is
now widely used across all sectors of the economy. The growing complexity of planning and …

Smartgrid-based hybrid digital twins framework for demand side recommendation service provision in distributed power systems

AE Onile, E Petlenkov, Y Levron, J Belikov - Future Generation Computer …, 2024 - Elsevier
Electricity consumers face challenges in selecting an optimal energy-saving plan, and this is
a sustainability problem. To set consumers focus on sustainable energy management …

[HTML][HTML] Digitalization of power distribution grids: Barrier analysis, ranking and policy recommendations

R Monaco, C Bergaentzlé, JAL Vilaplana, E Ackom… - Energy Policy, 2024 - Elsevier
The energy transition process that is being driven by the decentralization and electrification
of energy systems impacts significantly on electricity distribution grids. The fast-evolving …

Operating AI systems in the electricity sector under European's AI Act–Insights on compliance costs, profitability frontiers and extraterritorial effects

F Heymann, K Parginos, RJ Bessa, M Galus - Energy Reports, 2023 - Elsevier
Artificial intelligence (AI) brings great potential but also risks to the electricity industry.
Following the EU's current regulatory proposal, the EU Regulation for Artificial Intelligence …