Preparation of different heteroatom doped graphene oxide based electrodes by electrochemical method and their supercapacitor applications

Journal of Energy Storage, Journal Year: 2021, Volume and Issue: 35, P. 102328 - 102328

Published: Jan. 30, 2021

Language: Английский

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Overview of smart grid implementation: Frameworks, impact, performance and challenges

Journal of Energy Storage, Journal Year: 2022, Volume and Issue: 49, P. 104056 - 104056

Published: Feb. 7, 2022

Language: Английский

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Artificial intelligence powered large-scale renewable integrations in multi-energy systems for carbon neutrality transition: Challenges and future perspectives

Energy and AI, Journal Year: 2022, Volume and Issue: 10, P. 100195 - 100195

Published: Aug. 5, 2022

The vigorous expansion of renewable energy as a substitute for fossil is the predominant route action to achieve worldwide carbon neutrality. However, clean supplies in multi-energy building districts are still at preliminary stages paradigm transitions. In particular, technologies and methodologies large-scale integrations not sufficiently sophisticated, terms intelligent control management. Artificial (AI) techniques powered systems can learn from bio-inspired lessons provide power with intelligence. there few in-depth dissections deliberations on roles AI decarbonisation systems. This study summarizes commonly used AI-related approaches discusses their functional advantages when being applied various sectors, well contribution optimizing operational modalities improving overall effectiveness. also presents practical applications integration systems, analyzes effectiveness through theoretical explanations diverse case studies. addition, this introduces limitations challenges associated neutrality transition using relevant techniques, proposes further promising research perspectives recommendations. comprehensive review ignites advanced provides valuable informational instructions guidelines different stakeholders (e.g., engineers, designers scientists) transition.

Language: Английский

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Secure and resilient demand side management engine using machine learning for IoT-enabled smart grid

Sustainable Cities and Society, Journal Year: 2020, Volume and Issue: 62, P. 102370 - 102370

Published: July 3, 2020

Language: Английский

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Deep Learning in Smart Grid Technology: A Review of Recent Advancements and Future Prospects

IEEE Access, Journal Year: 2021, Volume and Issue: 9, P. 54558 - 54578

Published: Jan. 1, 2021

The current electric power system witnesses a significant transition into Smart Grids (SG) as promising landscape for high grid reliability and efficient energy management. This ongoing undergoes rapid changes, requiring plethora of advanced methodologies to process the big data generated by various units. In this context, SG stands tied very closely Deep Learning (DL) an emerging technology creating more decentralized intelligent paradigm while integrating intelligence in supervisory operational decision-making. Motivated outstanding success DL-based prediction methods, article attempts provide thorough review from broad perspective on state-of-the-art advances DL systems. Firstly, bibliometric analysis has been conducted categorize review's methodology. Further, we taxonomically delve mechanism behind some trending algorithms. We then showcase enabling technologies SG, such federated learning, edge intelligence, distributed computing. Finally, challenges research frontiers are provided serve guidelines future work futuristic domain. study's core objective is foster synergy between these two fields decision-makers researchers accelerate DL's practical deployment

Language: Английский

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Artificial intelligence techniques for enabling Big Data services in distribution networks: A review

Renewable and Sustainable Energy Reviews, Journal Year: 2021, Volume and Issue: 150, P. 111459 - 111459

Published: July 16, 2021

Artificial intelligence techniques lead to data-driven energy services in distribution power systems by extracting value from the data generated deployed metering and sensing devices. This paper performs a holistic analysis of artificial applications networks, ranging operation, monitoring maintenance planning. The potential for system needed sources are identified classified. following networks analyzed: topology estimation, observability, fraud detection, predictive maintenance, non-technical losses forecasting, management systems, aggregated flexibility trading. A review methods implemented each these is conducted. Their interdependencies mapped, proving that multiple can be offered as single clustered service different stakeholders. Furthermore, dependencies between AI with identified. In recent years there has been significant rise deep learning time series prediction tasks. Another finding unsupervised mainly being applied customer segmentation, buildings efficiency clustering consumption profile grouping detection. Reinforcement widely design, although more testing real environments needed. Distribution network sensorization should enhanced increased order obtain larger amounts valuable data, enabling better outcomes. Finally, future opportunities challenges applying grids discussed.

Language: Английский

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A Comparative Review on Energy Storage Systems and Their Application in Deregulated Systems

Batteries, Journal Year: 2022, Volume and Issue: 8(9), P. 124 - 124

Published: Sept. 10, 2022

Electrical energy is critical to the advancement of both social and economic growth. Because its importance, electricity industry has historically been controlled operated by governmental entities. The power market being deregulated, it modified throughout time. Both regulated deregulated markets have benefits pitfalls in terms costs, efficiency, environmental repercussions. In markets, policy-based strategies are often used deal with costs fossil fuel resources increase feasibility renewable sources. Renewables may be incorporated into a mix regulatory market-based approaches, as described this paper, systems stability. As demand for increased substantially recent decades, particularly developing nations, quantity greenhouse gas emissions fast, prices, which primary motivators programmers use sources more effectively. Despite obvious benefits, considerable drawbacks, such irregularity generation, because most supplies climate-dependent, demanding complex design, planning, control optimization approaches. Several solutions renewable-integrated system. Energy storage technology risen relevance usage expanded, since these devices absorb generated renewables during off-peak hours feed back grid peak hours. Using storing future instead expanding can assist reducing emissions. There desire maximize societal benefit system better using existing capacity through implementation an (ESS). result, good ESS device placement offers innovative capabilities steady-state flow regulation well dynamic stability management. This paper examines numerous elements integrated gives comprehensive overview current research breakthroughs field. main objectives reviews maximization profit, welfare minimization generation cost loss optimal systems. study will very helpful production companies who want build new renewable-based plant sighted present status along details several EES incorporation renewable-incorporated provide maximum supplying additional thermal minimum cost.

Language: Английский

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A state-of-art review on 2D material-boosted metal oxide nanoparticle electrodes: Supercapacitor applications

Journal of Energy Storage, Journal Year: 2023, Volume and Issue: 65, P. 107335 - 107335

Published: April 13, 2023

Language: Английский

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Data-driven next-generation smart grid towards sustainable energy evolution: techniques and technology review

Protection and Control of Modern Power Systems, Journal Year: 2023, Volume and Issue: 8(1)

Published: Sept. 6, 2023

Abstract Meteorological changes urge engineering communities to look for sustainable and clean energy technologies keep the environment safe by reducing CO 2 emissions. The structure of these relies on deep integration advanced data-driven techniques which can ensure efficient generation, transmission, distribution. After conducting thorough research more than a decade, concept smart grid (SG) has emerged, its practice around world paves ways use reliable technology. However, many developing features evoke keen interest their improvements be regarded as next-generation (NGSG). Also, deal with non-linearity uncertainty, emergence NGSG technology become great initiative reduce diverse impact non-linearity. This paper exhibits conceptual framework enabling some intelligent technical operation, including control, agent-based conversion, edge computing management, internet things (IoT) enabled inverter, agent-oriented demand side etc. study development is discussed facilitate emerging (DDTs) operation SG. prospects DDTs in adaptation challenges real-time are also explored this from various points view engineering, technology, et al. Finally, trends towards securing evolution order studied, while major future issues highlighted. offer extended support engineers researchers context

Language: Английский

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Hybrid energy system integration and management for solar energy: A review

Energy Conversion and Management X, Journal Year: 2024, Volume and Issue: 21, P. 100527 - 100527

Published: Jan. 1, 2024

The conventional grid is increasingly integrating renewable energy sources like solar to lower carbon emissions and other greenhouse gases. While management systems support integration by balancing power supply with demand, they are usually either predictive or real-time therefore unable utilise the full array of demand responses, limiting sources. This limitation overcome an integrated system. review examines various concepts related system such as configurations it operates in, types side responses. These approaches particularly relevant for that rely heavily on have constraints costs. Building from there, a comprehensive overview current research progress regarding development frameworks, both capabilities, provided. potential benefits integrates forecasting, demand-side management, supply-side explored. Furthermore, design considerations proposed creating forecasting models. findings this inform ongoing studies implementation system, their effect systems.

Language: Английский

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