Littérature scientifique sur le sujet « Smart city, Energy management, Energy simulation »
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Articles de revues sur le sujet "Smart city, Energy management, Energy simulation"
Reis, Fernando B., Reinaldo Tonkoski et Timothy M. Hansen. « Synthetic residential load models for smart city energy management simulations ». IET Smart Grid 3, no 3 (19 mai 2020) : 342–54. http://dx.doi.org/10.1049/iet-stg.2019.0296.
Texte intégralGururani, Hemlata, Aman Kumar, Dinesh Waghamode, Ekanki Jain et Anshika Garg. « Smart City using IOT simulation design in Cisco Packet Tracer ». International Journal for Research in Applied Science and Engineering Technology 10, no 5 (31 mai 2022) : 2544–51. http://dx.doi.org/10.22214/ijraset.2022.42904.
Texte intégralGarlík, Bohumír. « Energy Sustainability of a Cluster of Buildings with the Application of Smart Grids and the Decentralization of Renewable Energy Sources ». Energies 15, no 5 (23 février 2022) : 1649. http://dx.doi.org/10.3390/en15051649.
Texte intégralMaatoug, Abdelfettah, Ghalem Belalem et Kadda Mostefaoui. « Modeling and Simulation of Energy Management System for Smart City with the Formalism DEVS : Towards Reducing the Energy Consumption ». International Journal of Computer Applications 90, no 18 (26 mars 2014) : 38–43. http://dx.doi.org/10.5120/15824-4710.
Texte intégralMarques, Daniel, Carlos Senna et Miguel Luís. « Forwarding in Energy-Constrained Wireless Information Centric Networks ». Sensors 22, no 4 (13 février 2022) : 1438. http://dx.doi.org/10.3390/s22041438.
Texte intégralLoose, Nils, Christian Thommessen, Jan Mehlich, Christian Derksen et Stefan Eicker. « Unified Energy Agents for Combined District Heating and Electrical Network Simulation ». Sustainability 12, no 21 (9 novembre 2020) : 9301. http://dx.doi.org/10.3390/su12219301.
Texte intégralWu, Fengzhi, Gaofeng Xu, Ziyi Qi, Zhi Qi, Meng Zhang et Rong He. « Research on Multi-level Distribution Strategy Based on Energy Internet ». E3S Web of Conferences 252 (2021) : 03031. http://dx.doi.org/10.1051/e3sconf/202125203031.
Texte intégralMousavi Rad, Eisa, Zahra Mousavi et Mehro Razmjou. « A review of zero energy residential complex in the smart city environment ». Repa Proceeding Series 3, no 1 (30 juin 2022) : 6–11. http://dx.doi.org/10.37357/1068/crgs2022.3.1.02.
Texte intégralCanizes, Bruno, João Soares, Angelo Costa, Tiago Pinto, Fernando Lezama, Paulo Novais et Zita Vale. « Electric Vehicles’ User Charging Behaviour Simulator for a Smart City ». Energies 12, no 8 (18 avril 2019) : 1470. http://dx.doi.org/10.3390/en12081470.
Texte intégralSingh, Parminder, Anand Nayyar, Avinash Kaur et Uttam Ghosh. « Blockchain and Fog Based Architecture for Internet of Everything in Smart Cities ». Future Internet 12, no 4 (26 mars 2020) : 61. http://dx.doi.org/10.3390/fi12040061.
Texte intégralThèses sur le sujet "Smart city, Energy management, Energy simulation"
Roe, Curtis Aaron. « Impacts of automated residential energy management technology on primary energy source utilization ». Diss., Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/45865.
Texte intégralWeingarten, Leopold. « Physical Hybrid Model : Measurement - Experiment - Simulation ». Thesis, Uppsala universitet, Fasta tillståndets fysik, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-176412.
Texte intégralNg, Kwok-kei Simon, et 吳國基. « Optimal planning and management of stochastic demand and renewable energy in smart power grid ». Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2012. http://hub.hku.hk/bib/B50434299.
Texte intégralpublished_or_final_version
Electrical and Electronic Engineering
Doctoral
Doctor of Philosophy
Gudi, Nikhil. « A Simulation Platform to Demonstrate Active Demand-Side Management by Incorporating Heuristic Optimization for Home Energy Management ». University of Toledo / OhioLINK, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1279314597.
Texte intégralLiu, Kai, et 劉愷. « Optimal dispatch and management for smart power grid ». Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2011. http://hub.hku.hk/bib/B46336680.
Texte intégralHuang, Zhixing. « Cost-Effectiveness of Electricity Energy Efficiency Programs : Demand-Side Management's (DSM) Future Role in Energy Markets and Feasibility of Smart Meters in New York City ». Thesis, Boston College, 2011. http://hdl.handle.net/2345/1999.
Texte intégralCan smart metering program and time-of-use (TOU) prices help reduce energy consumption in New York City? Being able to track electricity consumption levels and to modify consumer usage patterns are important for policy makers to efficiently manage the energy markets. Unfortunately, no reliable and up-to-date data have been brought to bear on this question. I study the effects of time-of-use (TOU) prices and smart metering for the residents of Shanghai and I investigate further what can policy makers do in order to adapt and transfer this successful DSM experience from Shanghai to the residential sector in New York City. The primary objective of my study is to characterize the realistic short-term and long-term potential for the smart metering program in New York City given my empirical findings that the smart metering program has had brought great benefits to the residents of Shanghai. People respond to incentives; if electricity is charged at different prices throughout a day, consumers are likely to shift their usage to when it is cheaper. My findings suggest that policy makers should think harder about designing a pricing scheme that can optimize the social plus
Thesis (BA) — Boston College, 2011
Submitted to: Boston College. College of Arts and Sciences
Discipline: College Honors Program
Discipline: Economics Honors Program
Discipline: Economics
CAPITANELLI, ANDREA. « A User-Centred Methodology to Design and Simulate Smart Home Environments and Related Services ». Doctoral thesis, Università Politecnica delle Marche, 2017. http://hdl.handle.net/11566/245273.
Texte intégralThe advances in home automation and communication technologies offer several attractive benefits for the modern smart home, such as increased energy efficiency, improved residential comfort and reduced operative costs for the homeowner. Data aggregation and sharing within the networks can be guaranteed by modern Internet of Things (IoT) approaches and supported by available Information and Communication Technologies (ICT) tools. Such technologies are evolving and the private houses are becoming technological places populated by a multitude of devices able to collect a huge quantity of data and to cooperate in an intelligent way to control different domains, from household appliances to lighting or heating and ventilation. On one hand, the rising intelligence of smart devices makes a large amount of data available; on the other hand, data complexity creates difficulties in classifying, transmitting and interpreting essential data. Both aspects may drastically reduce the potential advantages and limit the diffusion smart devices. While in building automation proven solutions already exist, tailored applications for private houses and integration among heterogeneous devices and systems are still challenging due to the lack of standards and the variety of adopted communication protocols and data model schemas. Furthermore, even when the device connection and consolidation are achieved, making them cooperate in an interoperable way is another big challenge due to differences in usage paradigms, operation modes and interface integration. In fact, Smart Homes still lack of high interoperability and researches are often strongly technology-oriented and focused on single sub-system potentialities neglecting the expected benefits for the final users. For this purpose, the presented research defines an information management model for the smart home environment to support design and simulation of its devices as well as the enabled services. Such a model considers different device typologies, their mutual relationships, the information flows and the user interaction modalities in order to properly model the environment and define its behavior. It supports the design of the smart home by simulating the devices’ functionalities and estimating the expected performances.
Badreddine, Rim. « Gestion énergétique optimisée pour un bâtiment intelligent multi-sources multi-charges : différents principes de validations ». Phd thesis, Université de Grenoble, 2012. http://tel.archives-ouvertes.fr/tel-00780209.
Texte intégralMahmoud, Thair. « Optimal power generation in microgrids using agent-based technology ». Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 2013. https://ro.ecu.edu.au/theses/599.
Texte intégralCalvillo, Munoz Christian Francisco. « Energy Management in Smart Cities ». Doctoral thesis, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-215508.
Texte intégralQC 20171010
Chapitres de livres sur le sujet "Smart city, Energy management, Energy simulation"
Zhou, Kaile, et Lulu Wen. « Residential Electricity Pricing Based on Multi-Agent Simulation ». Dans Smart Energy Management, 183–202. Singapore : Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-9360-1_8.
Texte intégralCanizes, Bruno, Tiago Pinto, João Soares, Zita Vale, Pablo Chamoso et Daniel Santos. « Smart City : A GECAD-BISITE Energy Management Case Study ». Dans Advances in Intelligent Systems and Computing, 92–100. Cham : Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-61578-3_9.
Texte intégralBedi, Pradeep, S. B. Goyal, Anand Singh Rajawat, Rabindra Nath Shaw et Ankush Ghosh. « Application of AI/IoT for Smart Renewable Energy Management in Smart Cities ». Dans AI and IoT for Smart City Applications, 115–38. Singapore : Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-7498-3_8.
Texte intégralLiu, Hui, Nikolaos Nikitas, Yanfei Li et Rui Yang. « Big Data Management of Smart City Energy Conservation and Emission Reduction ». Dans Management for Professionals, 169–95. Singapore : Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-8965-9_7.
Texte intégralJohn, A., T. Ananth Kumar, M. Adimoolam et Angelin Blessy. « Energy Management and Monitoring Using IoT with CupCarbon Platform ». Dans Green Computing in Smart Cities : Simulation and Techniques, 189–206. Cham : Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-48141-4_10.
Texte intégralKaldate, Avinash, Amarsingh Kanase-Patil et Shashikant Lokhande. « Artificial Intelligence Based Integrated Renewable Energy Management in Smart City ». Dans Engineering Optimization : Methods and Applications, 1–20. Singapore : Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-4502-1_1.
Texte intégralSampathkumar, A., S. Murugan, M. Sivaram, Vishnu Sharma, K. Venkatachalam et Manikandan Kalimuthu. « Advanced Energy Management System for Smart City Application Using the IoT ». Dans Internet of Things in Smart Technologies for Sustainable Urban Development, 185–94. Cham : Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-34328-6_12.
Texte intégralBisoyi, Bhubaneswari, Biswajit Nayak, Biswajit Das et Srinivas Subbarao Pasumarti. « Urban Resilience and Inclusion of Smart Cities in the Transformation Process for Sustainable Development : Critical Deflections on the Smart City of Bhubaneswar in India ». Dans Advances in Power Systems and Energy Management, 149–60. Singapore : Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-7504-4_16.
Texte intégralAmutha, W. Margaret, et V. Rajini. « Real-Time Energy Management System for Solar-Wind-Battery fed Base Transceiver Station ». Dans Proceedings of International Conference on Artificial Intelligence, Smart Grid and Smart City Applications, 109–21. Cham : Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-24051-6_11.
Texte intégralTete, Pranjali, Puneet Kedar, Mahendra Gupta et Sandeep Joshi. « Numerical Simulation of a Finned-Surface Prismatic Lithium-Ion Battery Thermal Management System ». Dans Smart Technologies for Energy, Environment and Sustainable Development, Vol 1, 811–20. Singapore : Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-6875-3_64.
Texte intégralActes de conférences sur le sujet "Smart city, Energy management, Energy simulation"
Yoon, Guwon, Haneul Shin, Hyeyoon Jung, Keonhee Cho, Sanghoon Lee et Sehyun Park. « Prediction Model for Energy Sharing and Carbon Emission Management based on Distributed Solar Power Simulation in Smart City ». Dans 2022 IEEE/IAS 58th Industrial and Commercial Power Systems Technical Conference (I&CPS). IEEE, 2022. http://dx.doi.org/10.1109/icps54075.2022.9773831.
Texte intégralPapas, Ilias, Bruno Estibals, Christelle Ecrepont et Corinne Alonso. « Testing and evaluation of dynamic energy simulations for the development of an intelligent management of energy for the ADREAM smart building ». Dans 2017 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computed, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI). IEEE, 2017. http://dx.doi.org/10.1109/uic-atc.2017.8397403.
Texte intégralBoyer, Jeffrey L., Mehdi Jalayerian, Andrew Silverstein et Mohamad T. Araji. « Systems Integration for Cost Effective Carbon Neutral Buildings : A Masdar Headquarters Case Study ». Dans ASME 2010 4th International Conference on Energy Sustainability. ASMEDC, 2010. http://dx.doi.org/10.1115/es2010-90335.
Texte intégralCheng, K. W. E. « Energy management system for mobility and smart city ». Dans 2016 International Symposium on Electrical Engineering (ISEE). IEEE, 2016. http://dx.doi.org/10.1109/eeng.2016.7846366.
Texte intégralTakanokura, Masato, Masayuki Matsui et Hao Tang. « Energy management with battery system for smart city ». Dans 2014 33rd Chinese Control Conference (CCC). IEEE, 2014. http://dx.doi.org/10.1109/chicc.2014.6896373.
Texte intégralBurbano, Ary Mauricio, Antonio Martin, Carlos Leon et Enrique Personal. « Challenges for citizens in energy management system of smart cities ». Dans 2017 Smart City Symposium Prague (SCSP). IEEE, 2017. http://dx.doi.org/10.1109/scsp.2017.7973850.
Texte intégralBertoncini, Massimo. « Multi-resource Optimized Smart Management of Urban Energy Infrastructures for Improving Smart City Energy Efficiency ». Dans 4th International Conference on Smart Cities and Green ICT Systems. SCITEPRESS - Science and and Technology Publications, 2015. http://dx.doi.org/10.5220/0005499001070114.
Texte intégralKwok Shing Wong, W. Chan, Ming Lam Suen et K. W. E. Cheng. « Intelligent Switch and Smart Energy Storage for Smart City Development ». Dans 11th IET International Conference on Advances in Power System Control, Operation and Management (APSCOM 2018). Institution of Engineering and Technology, 2018. http://dx.doi.org/10.1049/cp.2018.1832.
Texte intégralZhou, Yimin, Yanfeng Chen, Guoqing Xu, Chunhua Zheng et Ming Chang. « Home Energy Management in Smart Grid with Renewable Energy Resources ». Dans 2014 UKSim-AMSS 16th International Conference on Modelling and Simulation (UKSim). IEEE, 2014. http://dx.doi.org/10.1109/uksim.2014.46.
Texte intégralKim, Seunghwan, Myeong-in Choi, Sanghoon Lee, Hyeonghu Park et Sehyun Park. « Intelligent Management System with Energy Data Block in Smart City ». Dans 2020 IEEE International Conference on Consumer Electronics (ICCE). IEEE, 2020. http://dx.doi.org/10.1109/icce46568.2020.9043059.
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