Literatura académica sobre el tema "Smart city, Energy management, Energy simulation"
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Artículos de revistas sobre el tema "Smart city, Energy management, Energy simulation"
Reis, Fernando B., Reinaldo Tonkoski y Timothy M. Hansen. "Synthetic residential load models for smart city energy management simulations". IET Smart Grid 3, n.º 3 (19 de mayo de 2020): 342–54. http://dx.doi.org/10.1049/iet-stg.2019.0296.
Texto completoGururani, Hemlata, Aman Kumar, Dinesh Waghamode, Ekanki Jain y Anshika Garg. "Smart City using IOT simulation design in Cisco Packet Tracer". International Journal for Research in Applied Science and Engineering Technology 10, n.º 5 (31 de mayo de 2022): 2544–51. http://dx.doi.org/10.22214/ijraset.2022.42904.
Texto completoGarlík, Bohumír. "Energy Sustainability of a Cluster of Buildings with the Application of Smart Grids and the Decentralization of Renewable Energy Sources". Energies 15, n.º 5 (23 de febrero de 2022): 1649. http://dx.doi.org/10.3390/en15051649.
Texto completoMaatoug, Abdelfettah, Ghalem Belalem y 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, n.º 18 (26 de marzo de 2014): 38–43. http://dx.doi.org/10.5120/15824-4710.
Texto completoMarques, Daniel, Carlos Senna y Miguel Luís. "Forwarding in Energy-Constrained Wireless Information Centric Networks". Sensors 22, n.º 4 (13 de febrero de 2022): 1438. http://dx.doi.org/10.3390/s22041438.
Texto completoLoose, Nils, Christian Thommessen, Jan Mehlich, Christian Derksen y Stefan Eicker. "Unified Energy Agents for Combined District Heating and Electrical Network Simulation". Sustainability 12, n.º 21 (9 de noviembre de 2020): 9301. http://dx.doi.org/10.3390/su12219301.
Texto completoWu, Fengzhi, Gaofeng Xu, Ziyi Qi, Zhi Qi, Meng Zhang y 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.
Texto completoMousavi Rad, Eisa, Zahra Mousavi y Mehro Razmjou. "A review of zero energy residential complex in the smart city environment". Repa Proceeding Series 3, n.º 1 (30 de junio de 2022): 6–11. http://dx.doi.org/10.37357/1068/crgs2022.3.1.02.
Texto completoCanizes, Bruno, João Soares, Angelo Costa, Tiago Pinto, Fernando Lezama, Paulo Novais y Zita Vale. "Electric Vehicles’ User Charging Behaviour Simulator for a Smart City". Energies 12, n.º 8 (18 de abril de 2019): 1470. http://dx.doi.org/10.3390/en12081470.
Texto completoSingh, Parminder, Anand Nayyar, Avinash Kaur y Uttam Ghosh. "Blockchain and Fog Based Architecture for Internet of Everything in Smart Cities". Future Internet 12, n.º 4 (26 de marzo de 2020): 61. http://dx.doi.org/10.3390/fi12040061.
Texto completoTesis sobre el tema "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.
Texto completoWeingarten, 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.
Texto completoNg, Kwok-kei Simon y 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.
Texto completopublished_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.
Texto completoLiu, Kai y 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.
Texto completoHuang, 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.
Texto completoCan 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.
Texto completoThe 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.
Texto completoMahmoud, 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.
Texto completoCalvillo, Munoz Christian Francisco. "Energy Management in Smart Cities". Doctoral thesis, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-215508.
Texto completoQC 20171010
Capítulos de libros sobre el tema "Smart city, Energy management, Energy simulation"
Zhou, Kaile y Lulu Wen. "Residential Electricity Pricing Based on Multi-Agent Simulation". En Smart Energy Management, 183–202. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-9360-1_8.
Texto completoCanizes, Bruno, Tiago Pinto, João Soares, Zita Vale, Pablo Chamoso y Daniel Santos. "Smart City: A GECAD-BISITE Energy Management Case Study". En 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.
Texto completoBedi, Pradeep, S. B. Goyal, Anand Singh Rajawat, Rabindra Nath Shaw y Ankush Ghosh. "Application of AI/IoT for Smart Renewable Energy Management in Smart Cities". En 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.
Texto completoLiu, Hui, Nikolaos Nikitas, Yanfei Li y Rui Yang. "Big Data Management of Smart City Energy Conservation and Emission Reduction". En Management for Professionals, 169–95. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-8965-9_7.
Texto completoJohn, A., T. Ananth Kumar, M. Adimoolam y Angelin Blessy. "Energy Management and Monitoring Using IoT with CupCarbon Platform". En 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.
Texto completoKaldate, Avinash, Amarsingh Kanase-Patil y Shashikant Lokhande. "Artificial Intelligence Based Integrated Renewable Energy Management in Smart City". En Engineering Optimization: Methods and Applications, 1–20. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-4502-1_1.
Texto completoSampathkumar, A., S. Murugan, M. Sivaram, Vishnu Sharma, K. Venkatachalam y Manikandan Kalimuthu. "Advanced Energy Management System for Smart City Application Using the IoT". En 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.
Texto completoBisoyi, Bhubaneswari, Biswajit Nayak, Biswajit Das y 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". En 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.
Texto completoAmutha, W. Margaret y V. Rajini. "Real-Time Energy Management System for Solar-Wind-Battery fed Base Transceiver Station". En 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.
Texto completoTete, Pranjali, Puneet Kedar, Mahendra Gupta y Sandeep Joshi. "Numerical Simulation of a Finned-Surface Prismatic Lithium-Ion Battery Thermal Management System". En 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.
Texto completoActas de conferencias sobre el tema "Smart city, Energy management, Energy simulation"
Yoon, Guwon, Haneul Shin, Hyeyoon Jung, Keonhee Cho, Sanghoon Lee y Sehyun Park. "Prediction Model for Energy Sharing and Carbon Emission Management based on Distributed Solar Power Simulation in Smart City". En 2022 IEEE/IAS 58th Industrial and Commercial Power Systems Technical Conference (I&CPS). IEEE, 2022. http://dx.doi.org/10.1109/icps54075.2022.9773831.
Texto completoPapas, Ilias, Bruno Estibals, Christelle Ecrepont y Corinne Alonso. "Testing and evaluation of dynamic energy simulations for the development of an intelligent management of energy for the ADREAM smart building". En 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.
Texto completoBoyer, Jeffrey L., Mehdi Jalayerian, Andrew Silverstein y Mohamad T. Araji. "Systems Integration for Cost Effective Carbon Neutral Buildings: A Masdar Headquarters Case Study". En ASME 2010 4th International Conference on Energy Sustainability. ASMEDC, 2010. http://dx.doi.org/10.1115/es2010-90335.
Texto completoCheng, K. W. E. "Energy management system for mobility and smart city". En 2016 International Symposium on Electrical Engineering (ISEE). IEEE, 2016. http://dx.doi.org/10.1109/eeng.2016.7846366.
Texto completoTakanokura, Masato, Masayuki Matsui y Hao Tang. "Energy management with battery system for smart city". En 2014 33rd Chinese Control Conference (CCC). IEEE, 2014. http://dx.doi.org/10.1109/chicc.2014.6896373.
Texto completoBurbano, Ary Mauricio, Antonio Martin, Carlos Leon y Enrique Personal. "Challenges for citizens in energy management system of smart cities". En 2017 Smart City Symposium Prague (SCSP). IEEE, 2017. http://dx.doi.org/10.1109/scsp.2017.7973850.
Texto completoBertoncini, Massimo. "Multi-resource Optimized Smart Management of Urban Energy Infrastructures for Improving Smart City Energy Efficiency". En 4th International Conference on Smart Cities and Green ICT Systems. SCITEPRESS - Science and and Technology Publications, 2015. http://dx.doi.org/10.5220/0005499001070114.
Texto completoKwok Shing Wong, W. Chan, Ming Lam Suen y K. W. E. Cheng. "Intelligent Switch and Smart Energy Storage for Smart City Development". En 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.
Texto completoZhou, Yimin, Yanfeng Chen, Guoqing Xu, Chunhua Zheng y Ming Chang. "Home Energy Management in Smart Grid with Renewable Energy Resources". En 2014 UKSim-AMSS 16th International Conference on Modelling and Simulation (UKSim). IEEE, 2014. http://dx.doi.org/10.1109/uksim.2014.46.
Texto completoKim, Seunghwan, Myeong-in Choi, Sanghoon Lee, Hyeonghu Park y Sehyun Park. "Intelligent Management System with Energy Data Block in Smart City". En 2020 IEEE International Conference on Consumer Electronics (ICCE). IEEE, 2020. http://dx.doi.org/10.1109/icce46568.2020.9043059.
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