Legislative support for improving sustainable and smart electricity consumption in polish residential sector

Grycan, Wiktoria

doi:10.1016/j.jclepro.2020.121995

Cited by 10 publications

(4 citation statements)

References 29 publications

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“…Legislation support is important to ensure smart electricity utilization in the households, especially from the perspective of the smart city concept. Study ( Grycan, 2020 ) discussed legislative for electricity consumption for the case of the Polish residential sector. Lack of legislative was detected and mainly in the smart metering solutions that are slowing down development of the smart infrastructure.…”

Section: Iot Technologies In Sustainable Energy and Environmentmentioning

confidence: 99%

Internet of Things (IoT): Opportunities, issues and challenges towards a smart and sustainable future

Nižetić

Šolić

López-de-Ipiña

et al. 2020

Journal of Cleaner Production

588

165

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The rapid development and implementation of smart and IoT (Internet of Things) based technologies have allowed for various possibilities in technological advancements for different aspects of life. The main goal of IoT technologies is to simplify processes in different fields, to ensure a better efficiency of systems (technologies or specific processes) and finally to improve life quality. Sustainability has become a key issue for population where the dynamic development of IoT technologies is bringing different useful benefits, but this fast development must be carefully monitored and evaluated from an environmental point of view to limit the presence of harmful impacts and ensure the smart utilization of limited global resources. Significant research efforts are needed in the previous sense to carefully investigate the pros and cons of IoT technologies. This review editorial is partially directed on the research contributions presented at the 4th International Conference on Smart and Sustainable Technologies held in Split and Bol, Croatia, in 2019 (SpliTech 2019) as well as on recent findings from literature. The SpliTech2019 conference was a valuable event that successfully linked different engineering professions, industrial experts and finally researchers from academia. The focus of the conference was directed towards key conference tracks such as Smart City, Energy/Environment, e-Health and Engineering Modelling. The research presented and discussed at the SpliTech2019 conference helped to understand the complex and intertwined effects of IoT technologies on societies and their potential effects on sustainability in general. Various application areas of IoT technologies were discussed as well as the progress made. Four main topical areas were discussed in the herein editorial, i.e. latest advancements in the further fields: (i) IoT technologies in Sustainable Energy and Environment, (ii) IoT enabled Smart City, (iii) E-health – Ambient assisted living systems (iv) IoT technologies in Transportation and Low Carbon Products. The main outcomes of the review introductory article contributed to the better understanding of current technological progress in IoT application areas as well as the environmental implications linked with the increased application of IoT products.

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Section: Iot Technologies In Sustainable Energy and Environmentmentioning

confidence: 99%

Internet of Things (IoT): Opportunities, issues and challenges towards a smart and sustainable future

Nižetić

Šolić

López-de-Ipiña

et al. 2020

Journal of Cleaner Production

588

165

View full text Add to dashboard Cite

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“…The major benefits associated with smart city automation systems are healthy living with its deployment in healthcare systems, reduction in energy consumption, and home safety and security. Some countries support the full deployment of smart city automation systems for their residents by putting laws, rules, and subsidies to facilitate its use and encourage residents to adopt a decrement in the rate of energy demand [53]. The increasing interest in research about the city automation system has proven that it is an area that needs exploration to enhance its functionality and accessibility.…”

Section: Artificial Intelligence Enabled Intrusion Detection For Iot ...mentioning

confidence: 99%

Privacy and Security Enhancement of Smart Cities using Hybrid Deep Learning-enabled Blockchain

Awotunde,

Gaber,

Prasad

et al. 2023

SCPE

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The emergence of the Internet of Things (IoT) accelerated the implementation of various smart city applications and initiatives. The rapid adoption of IoT-powered smart cities is faced by a number of security and privacy challenges that hindered their application in areas such as critical infrastructure. One of the most crucial elements of any smart city is safety. Without the right safeguards, bad actors can quickly exploit weak systems to access networks or sensitive data. Security issues are a big worry for smart cities in addition to safety issues. Smart cities become easy targets for attackers attempting to steal data or disrupt services if they are not adequately protected against cyberthreats like malware or distributed denial-of-service (DDoS) attacks. Therefore, in order to safeguard their systems from potential threats, businesses must employ strong security protocols including encryption, authentication, and access control measures. In order to ensure that their network traffic remains secure, organizations should implement powerful network firewalls and intrusion detection systems (IDS). This article proposes a blockchain-supported hybrid Convolutional Neural Network (CNN) with Kernel Principal Component Analysis (KPCA) to provide privacy and security for smart city users and systems. Blockchain is used to provide trust, and CNN enabled with KPCA is used for classifying threats. The proposed solution comprises three steps, preprocessing, feature selection, and classification. The standard features of the datasets used are converted to a numeric format during the preprocessing stage, and the result is sent to KPCA for feature extraction. Feature extraction reduces the dimensionality of relevant features before it passes the resulting dataset to the CNN to classify and detect malicious activities. Two prominent datasets namely ToN-IoT and BoT-IoT were used to measure the performance of this anticipated method compared to its best rivals in the literature. Experimental evaluation results show an improved performance in terms of threat prediction accuracy, and hence, increased security, privacy, and maintainability of IoT-enabled smart cities.

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“…The smart electricity link is directly oriented to society and customers, which is the main way for the community to perceive and experience the achievements of smart grid construction, and it has a very important position and role in the construction of smart grids [3][4]. Among them, the electricity information collection system undertakes the important tasks of electricity information collection, efficient sharing and real-time monitoring and is an important foundation of the intelligent electricity service system and an important source of electricity information for customers [5][6].…”

Section: Introductionmentioning

confidence: 99%

Benefit evaluation analysis of new energy power consumption information collection with basic steady-state harmonic characteristics

Wang,

Jing,

Zhang

et al. 2023

Applied Mathematics and Nonlinear Sciences

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In this paper, firstly, the load monitoring characteristics of new energy power consumption are studied and analyzed in terms of both steady-state and transient characteristics, and suitable characteristic values are selected for different types as the basis of load decomposition. A comparative analysis of various types of load imprints is conducted to highlight the advantages of steady-state harmonic features as load monitoring feature data. Then, an evaluation model of the demand response potential of electricity information collection is established based on a multi-objective optimization algorithm, and technical and economic analysis of electricity information collection is carried out to evaluate the response potential of power companies collecting customer data. Finally, the situation and benefits of collecting electricity consumption information for new energy power are analyzed. The daily maximum load moments of typical users are all cut by more than 10%, the peak load portion cut by more than 97% is also more obvious, and the maximum moments of valley filling response are all more than 11%. D Power saved a total of 3.759 billion yuan in labor costs by reducing labor costs by 400 million yuan after adopting electricity consumption information collection. The indices of excellent and qualified management benefit and social benefit evaluation of electricity consumption information collection are above 0.8. Overall, the benefits of electricity consumption information collection for new energy power with basic steady-state harmonic characteristics are significant and effective.

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Legislative support for improving sustainable and smart electricity consumption in polish residential sector

Cited by 10 publications

References 29 publications

Internet of Things (IoT): Opportunities, issues and challenges towards a smart and sustainable future

Internet of Things (IoT): Opportunities, issues and challenges towards a smart and sustainable future

Privacy and Security Enhancement of Smart Cities using Hybrid Deep Learning-enabled Blockchain

Benefit evaluation analysis of new energy power consumption information collection with basic steady-state harmonic characteristics

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