Improving the Structure of the Electricity Demand Response Aggregator Based on Holonic Approach DOI Creative Commons
Irina Kolosok, Elena Korkina

Mathematics, Journal Year: 2024, Volume and Issue: 12(23), P. 3802 - 3802

Published: Dec. 1, 2024

A demand response (DR) aggregator is a specialized entity designed to collaborate with electricity producers, facilitating the exchange of energy for numerous stakeholders. This application pivotal development within Russian Energy System as it transitions Smart Grid. Its successful operation relies on advancement and implementation more efficient strategies manage emerging assets structures. The holonic approach distributed management model used handle systems characterized by random dynamic changes. paper analyzes specific aspects mechanism in Russia, primarily aimed at reducing peak load system engaging active consumers who are outside wholesale market. DR-Aggregator considered both cyber-physical (CPS) cluster structure business process. exhibits essential properties, enabling enhance efficiency mechanism. will facilitate greater flexibility managing schedules individual holon consumers, bolster reliability power supply aligning among super-holon cluster, improve fault tolerance structure, providing adaptability services.

Language: Английский

A comprehensive review of AI-enhanced smart grid integration for hydrogen energy: Advances, challenges, and future prospects DOI
Morteza SaberiKamarposhti, Hesam Kamyab, Santhana Krishnan

et al.

International Journal of Hydrogen Energy, Journal Year: 2024, Volume and Issue: 67, P. 1009 - 1025

Published: Jan. 19, 2024

Language: Английский

Citations

56

Beyond Industry 4.0: Tracing the Path to Industry 5.0 through Bibliometric Analysis DOI Open Access
Alexandra-Nicoleta Ciucu Durnoi, Camelia Delcea, Aurelia Stănescu

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(12), P. 5251 - 5251

Published: June 20, 2024

The rapid advancement of technology has led to significant milestones in industrial progress, surpassing previous capabilities and presenting new challenges for adaptation. current phase revolutions is characterized by accelerated technological development, particularly automation digitalization. For instance, the global robotics market was valued at approximately USD 43.0 billion 2022 projected reach 70.6 2028. integration human labor alongside robotic machinery, though a tangible reality, may still seem abstract certain regions. Despite recent announcement fourth revolution, Industry 5.0 quickly emerged as standard toward which industries aspire. This study performs bibliometric analysis articles published between 2020 2023 that explores implications these two transition them. Using Clarivate Analytics’ Web Science Core Collection, identifies 154 using Biblioshiny package R, simultaneously discuss 4.0 within their titles, abstracts, or keywords. An impressive annual growth rate 119.47% among papers included dataset underlines interest research community this field. Additionally, key findings include identification prominent sources, prolific authors, highly cited content, well common themes explored across analyzed papers. Among most relevant sources terms number publications, journal Sustainability plays role, holding first position, followed Applied Sciences, Sensors. In motor themes, digital transformation, artificial intelligence, Internet Things, smart manufacturing have been found play role. As result, present contributes understanding evolution from 5.0, highlighting trends, influential research, emerging are shaping future advancements.

Language: Английский

Citations

13

Risk-aware distributed chance constrained energy coordination in energy communities DOI
J.A. Domínguez-Jiménez, Nilson Henao, Alejandro Parrado-Duque

et al.

Energy, Journal Year: 2025, Volume and Issue: unknown, P. 134778 - 134778

Published: Feb. 1, 2025

Language: Английский

Citations

1

International Journal on "Technical and Physical Problems of Engineering" (IJTPE) DOI

Dr.Nadia Yas

SSRN Electronic Journal, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 1, 2025

Language: Английский

Citations

1

Enhancing Smart City Services with AI: A Field Experiment in the Context of Industry 5.0 DOI Creative Commons

Taskaeva Natalia,

Sanjeev Kumar Joshi,

Saurav Dixit

et al.

BIO Web of Conferences, Journal Year: 2024, Volume and Issue: 86, P. 01063 - 01063

Published: Jan. 1, 2024

The practical effects of incorporating artificial intelligence (AI) into Industry 5.0 smart city services are made evident by this empirical research. use AI-powered traffic management yields a noteworthy 32.94% rise in volume, signifying progression towards improved urban mobility. AI waste optimization results 5.71% increase collection efficiency, highlighting the importance operational effectiveness and resource conservation. control energy shows an 8.57% decrease, confirming AI's sustainable practices. AI-enhanced public safety offers dependable event prediction, indicating safer cityscapes. These highlight revolutionary potential establish cities as safe, secure, environments.

Language: Английский

Citations

5

Strengths, weaknesses, opportunities and threats of demand response in district heating and cooling systems. From passive customers to valuable assets DOI Creative Commons
Anna Marszal-Pomianowska, Emilia Motoasca, Ivo Pothof

et al.

Smart Energy, Journal Year: 2024, Volume and Issue: 14, P. 100135 - 100135

Published: March 11, 2024

Buildings can deliver short-term thermal energy storage by utilising the capacity of building construction and/or activating water tanks included in heating/cooling installation. The flexibility potential demand management using decentralized has been quantified many theoretical modelling studies, and it is considered an essential technology for affordable transition. We have investigated drivers barriers to adoption buildings district heating cooling systems via a Strengths, Weaknesses, Opportunities Threats (SWOT) analysis presented 17 elements that shape current future application this concept. results indicate DR concept left studies moved towards real-life applications. Yet, there lack feasible business models regulatory frameworks supporting large-scale Utilities their customers do not fully understand benefits concept; therefore they are reluctant adopt outside research projects where test environment controlled with limited impact timeline. Therefore, framework must be adjusted allow DHC operators develop new tariffs will incentivise system without compromising comfort everyday practices increasing poverty.

Language: Английский

Citations

5

The role of social learning on consumers’ willingness to engage in demand-side management: An agent-based modelling approach DOI Creative Commons
Sara Golmaryami, Manuel L. Nunes, Paula Ferreira

et al.

Smart Energy, Journal Year: 2024, Volume and Issue: 14, P. 100138 - 100138

Published: March 21, 2024

Achieving a sustainable energy future requires clean, affordable supply and active consumer engagement in the market. This study proposes to evaluate simulate consumers' willingness participate demand-side management programs using an agent-based modelling approach address social learning effect as key factor influencing behaviour. The proposed model simulates households' electricity interactions examining how shift usage is encouraged through environment, while accounting for diversity among consumers. Data from survey conducted Portugal, including questions about influence of recommendations friends or family members on individuals' engage demand response activities, are used test simulation. findings reveal that significantly impacts acceptance, yet extent this varies depending socio-economic characteristics confirms effective capturing dynamics supporting market decision making, providing valuable insights devising consumers strategies.

Language: Английский

Citations

5

Run-time Value Chain Analysis and Cost Accounting Via Microservices In Agile Manufacturing DOI Creative Commons
Salman Javed, Cristina Paniagua,

Imran Javed

et al.

IEEE Open Journal of the Industrial Electronics Society, Journal Year: 2025, Volume and Issue: 6, P. 181 - 201

Published: Jan. 1, 2025

Language: Английский

Citations

0

Advancements in smart energy system operation and planning DOI Creative Commons
Vladimir Z. Gjorgievski, Brian Vad Mathiesen

Smart Energy, Journal Year: 2025, Volume and Issue: unknown, P. 100176 - 100176

Published: Feb. 1, 2025

Language: Английский

Citations

0

Big Data and AI for Smart Maintenance: Literature review on the impact on plants Resilience DOI Open Access
Marco Mosca, Roberto Mosca, Mattia Braggio

et al.

Procedia Computer Science, Journal Year: 2025, Volume and Issue: 253, P. 1959 - 1971

Published: Jan. 1, 2025

Language: Английский

Citations

0