Energy and Buildings, Journal Year: 2025, Volume and Issue: unknown, P. 115729 - 115729
Published: April 1, 2025
Language: Английский
Renewable and Sustainable Energy Reviews, Journal Year: 2024, Volume and Issue: 202, P. 114681 - 114681
Published: July 2, 2024
Language: Английский
Citations
23
Applied Sciences, Journal Year: 2024, Volume and Issue: 14(14), P. 6214 - 6214
Published: July 17, 2024
This review comprehensively examines the burgeoning field of intelligent techniques to enhance power systems’ stability, control, and protection. As global energy demands increase renewable sources become more integrated, maintaining stability reliability both conventional systems smart grids is crucial. Traditional methods are increasingly insufficient for handling today’s grids’ complex, dynamic nature. paper discusses adoption advanced intelligence methods, including artificial (AI), deep learning (DL), machine (ML), metaheuristic optimization algorithms, other AI such as fuzzy logic, reinforcement learning, model predictive control address these challenges. It underscores critical importance system new challenges integrating diverse sources. The reviews various used in analysis, emphasizing their roles maintenance, fault detection, real-time monitoring. details extensive research on capabilities ML algorithms precision efficiency protection systems, showing effectiveness accurately identifying resolving faults. Additionally, it explores potential logic decision-making under uncertainty, integration IoT big data analytics monitoring optimization. Case studies from literature presented, offering valuable insights into practical applications. concludes by current limitations suggesting areas future research, highlighting need robust, flexible, scalable sector. a resource researchers, engineers, policymakers, providing detailed understanding
Language: Английский
Citations
21
Sustainable Development, Journal Year: 2024, Volume and Issue: 32(5), P. 5294 - 5310
Published: March 24, 2024
Abstract The COVID‐19 pandemic made people reevaluate their energy consumption and efficiency. It held up a mirror to humanity's opportunistic ruthless deployment of sources. As the city streets went empty international air traffic stopped altogether, witnessed significant drop in CO 2 emissions, realized dependence upon sources, became aware global climate change. In addition, with lockdowns home offices, demand for usual peak hours shifted offering new perspective consumption. delivered devastating blow human belief having constant everlasting supply that can be relied everything. All these attracted attention researchers focusing on efficiency during pandemic. result, vast body academic literature topic burgeoned past four years yielding many exciting perspectives viewpoints. Our paper conducts comprehensive review this employing bibliometric network analysis 12960 publications indexed Web Science database. demonstrates potential benefits challenges associated implementing energy‐saving technologies, altering behavior, novel ICT solutions post‐COVID world. it highlights importance measures examines technologies contribute sustainable resilient future. findings emphasize need robust policies, technological advancements, public engagement fostering mitigating environmental impacts post‐pandemic
Language: Английский
Citations
19
World Journal of Advanced Research and Reviews, Journal Year: 2024, Volume and Issue: 22(2), P. 612 - 618
Published: May 14, 2024
This review paper delves into the transformative potential of advanced risk management models in enhancing resilience and efficiency supply chain finance (SCF). By examining application development Artificial Intelligence (AI), Machine Learning (ML), Big Data analytics, blockchain technology, highlights their role transitioning from traditional reactive strategies to proactive predictive approaches. Despite promising advantages, also addresses significant implementation challenges, model limitations, regulatory ethical considerations accompanying these technological advancements. Recommendations for effective deployment areas future research, particularly overcoming existing hurdles exploring emerging technologies, are discussed. comprehensive analysis aims guide academics, industry professionals, policymakers harnessing a more robust SCF ecosystem.
Language: Английский
Citations
19
Journal of Technology Innovations and Energy, Journal Year: 2023, Volume and Issue: 2(4), P. 1 - 26
Published: Oct. 19, 2023
The energy industry worldwide is today confronted with several challenges, including heightened levels of consumption and inefficiency, volatile patterns in demand supply, a dearth crucial data necessary for effective management. Developing countries face significant challenges due to the widespread occurrence unauthorized connections electricity grid, resulting substantial amounts unmeasured unpaid consumption. Nevertheless, implementation artificial intelligence (AI) machine learning (ML) technologies has potential improve management, efficiency, sustainability. Therefore, this study aims evaluate influence AI ML on progress industry. present employed systematic literature review methodology examine arising from frequent power outages limited accessibility various developing nations. results indicate that possess domains, predictive maintenance turbines, optimization consumption, management grids, prediction prices, assessment efficiency residential buildings. This concluded discussion measures enable nations harness advantages sector.
Language: Английский
Citations
23
Heliyon, Journal Year: 2024, Volume and Issue: 10(8), P. e29600 - e29600
Published: April 1, 2024
The transformative potential of blockchain technology in the renewable energy sector is increasingly gaining recognition for its capacity to enhance efficiency, enable decentralized trading, and ensure transaction transparency. However, despite growing importance, there exists a significant knowledge gap holistic understanding integration impact within this sector. Addressing gap, current study employs pioneering approach, marking it as first comprehensive bibliometric analysis field. We have systematically examined 390 journal articles from Web Science database, covering period 2017 through end February 2024, map landscape thematic trajectories energy. findings highlight several critical areas, including blockchain's with smart grids, role electric vehicle integration, application sustainable urban systems. These themes not only illustrate diverse applications but also substantial revolutionize This fills crucial existing literature sets precedent future interdisciplinary research domain, bridging theoretical insights practical fully harness
Language: Английский
Citations
9
Published: Jan. 1, 2024
Language: Английский
Citations
9
Results in Engineering, Journal Year: 2024, Volume and Issue: 23, P. 102741 - 102741
Published: Aug. 19, 2024
Distribution systems are integrating a growing number of distributed energy resources and converter-interfaced generators to form active distribution networks (ADNs). Numerous studies have been undertaken mitigate various challenges in ADNs. However, voltage deviation reactive power control still requires more attention from researchers system engineers. The Volt/VAr (VVC) concept has developed improve the quality, minimize losses, maintain profile deployed utility-owned legacy mechanisms such as on-load tap changers, capacitor banks, automatic regulators operate discrete, slow timescales unidirectionally, rendering them insufficient for optimal regulation Owing increasing use smart meters, inverters (SIs), sensors, data analytics tools, improved communication networks, become an important resource. Data-driven approaches, particularly reinforcement learning (RL)-based, therefore gained recent years effectively solving VVC decision-making problem. This comprehensive review presents detailed analysis advanced approaches used address It includes general overview problem formulation, frameworks, basic notations, well comparisons existing recently proposed methods. study focuses on data-driven especially RL-based algorithms. Some open research experienced application these algorithms safety, data, scalability, problems, interpretability cybersecurity threats presented alongside future perspectives Internet Things (IoT), Transfer Learning (TL), hybrid human-in-the-loop AI approaches.
Language: Английский
Citations
7
Journal of Business Economics and Management, Journal Year: 2023, Volume and Issue: 24(3), P. 594 - 613
Published: Sept. 28, 2023
The development and availability of information technology the possibility deep integration internal IT systems with external ones gives a powerful opportunity to analyze data online based on providers. Recently, machine learning algorithms play significant role in predicting different processes. This research aims apply several predict high frequent daily hotel occupancy at Chinese hotel. Five models (bagged CART, bagged MARS, XGBoost, random forest, SVM) were optimized applied for occupancy. All are compared using model accuracy measures an ARDL chosen as benchmark comparison. It was found that CART showed most relevant results (R2 > 0.50) all periods, but could not beat traditional model. Thus, despite original use solving regression tasks, used this have been more effective than In addition, variables’ importance check hypothesis Baidu search index its components can be
Language: Английский
Citations
13
Energies, Journal Year: 2024, Volume and Issue: 17(12), P. 2942 - 2942
Published: June 14, 2024
This review paper thoroughly examines the role of technical analysis in energy and financial markets with a primary focus on its application, effectiveness, comparative fundamental analysis. The discussion encompasses principles, investment strategies, emerging trends analysis, underscoring their critical relevance for traders, investors, analysts operating within these markets. Through historical price data, serves as crucial tool recognizing market trends, determining trade timing, managing risk effectively. Given complex nature markets, where many factors influence prices, significance is particularly pronounced. aims to provide practical insights serve roadmap future research realm contributes ongoing discourse advancement knowledge this field by synthesizing existing perspectives proposing avenues further exploration.
Language: Английский
Citations
5