IDEAS home Printed from https://ideas.repec.org/r/eee/appene/v237y2019icp581-597.html
   My bibliography  Save this item

Smart energy systems for sustainable smart cities: Current developments, trends and future directions

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Wang, Ran & Lu, Shilei & Feng, Wei, 2020. "A novel improved model for building energy consumption prediction based on model integration," Applied Energy, Elsevier, vol. 262(C).
  2. Justyna Żywiołek & Francesco Schiavone, 2021. "Perception of the Quality of Smart City Solutions as a Sense of Residents’ Safety," Energies, MDPI, vol. 14(17), pages 1-16, September.
  3. Lasemi, Mohammad Ali & Arabkoohsar, Ahmad & Hajizadeh, Amin & Mohammadi-ivatloo, Behnam, 2022. "A comprehensive review on optimization challenges of smart energy hubs under uncertainty factors," Renewable and Sustainable Energy Reviews, Elsevier, vol. 160(C).
  4. Vasja Roblek & Maja Meško & Mirjana Pejić Bach & Oshane Thorpe & Polona Šprajc, 2020. "The Interaction between Internet, Sustainable Development, and Emergence of Society 5.0," Data, MDPI, vol. 5(3), pages 1-27, September.
  5. Barone, Giovanni & Buonomano, Annamaria & Forzano, Cesare & Giuzio, Giovanni Francesco & Palombo, Adolfo, 2020. "Increasing self-consumption of renewable energy through the Building to Vehicle to Building approach applied to multiple users connected in a virtual micro-grid," Renewable Energy, Elsevier, vol. 159(C), pages 1165-1176.
  6. Georgios Koukis & Konstantina Safouri & Vassilis Tsaoussidis, 2024. "All about Delay-Tolerant Networking (DTN) Contributions to Future Internet," Future Internet, MDPI, vol. 16(4), pages 1-21, April.
  7. Lin, Jian & Zhong, Xiaoyi & Wang, Jing & Huang, Yuan & Bai, Xuetao & Wang, Xiaonan & Shah, Nilay & Xie, Shan & Zhao, Yingru, 2021. "Relative optimization potential: A novel perspective to address trade-off challenges in urban energy system planning," Applied Energy, Elsevier, vol. 304(C).
  8. Hassan Gholami, 2024. "A Holistic Multi-Criteria Assessment of Solar Energy Utilization on Urban Surfaces," Energies, MDPI, vol. 17(21), pages 1-35, October.
  9. Gonzalo Bustos-Turu & Koen H. van Dam & Salvador Acha & Nilay Shah, 2023. "An Agent-Based Decision Support Framework for a Prospective Analysis of Transport and Heat Electrification in Urban Areas," Energies, MDPI, vol. 16(17), pages 1-26, August.
  10. Elsisi, Mahmoud & Amer, Mohammed & Dababat, Alya’ & Su, Chun-Lien, 2023. "A comprehensive review of machine learning and IoT solutions for demand side energy management, conservation, and resilient operation," Energy, Elsevier, vol. 281(C).
  11. Waibel, Christoph & Evins, Ralph & Carmeliet, Jan, 2019. "Co-simulation and optimization of building geometry and multi-energy systems: Interdependencies in energy supply, energy demand and solar potentials," Applied Energy, Elsevier, vol. 242(C), pages 1661-1682.
  12. Siti Rosilah Arsad & Muhamad Haziq Hasnul Hadi & Nayli Aliah Mohd Afandi & Pin Jern Ker & Shirley Gee Hoon Tang & Madihah Mohd Afzal & Santhi Ramanathan & Chai Phing Chen & Prajindra Sankar Krishnan &, 2023. "The Impact of COVID-19 on the Energy Sector and the Role of AI: An Analytical Review on Pre- to Post-Pandemic Perspectives," Energies, MDPI, vol. 16(18), pages 1-31, September.
  13. Wei, Shuangyu & Tien, Paige Wenbin & Calautit, John Kaiser & Wu, Yupeng & Boukhanouf, Rabah, 2020. "Vision-based detection and prediction of equipment heat gains in commercial office buildings using a deep learning method," Applied Energy, Elsevier, vol. 277(C).
  14. Daniel ALEXANDRU & Ioan RADU, 2024. "Policy Recommendation For Integrated Smart Heating System," APPLIED RESEARCH IN ADMINISTRATIVE SCIENCES, Research Centre in Public Administration and Public Services, Bucharest, Romania, vol. 5(1), pages 20-30, April.
  15. Wen, Yifan & Wu, Ruoxi & Zhou, Zihang & Zhang, Shaojun & Yang, Shengge & Wallington, Timothy J. & Shen, Wei & Tan, Qinwen & Deng, Ye & Wu, Ye, 2022. "A data-driven method of traffic emissions mapping with land use random forest models," Applied Energy, Elsevier, vol. 305(C).
  16. Liu, Tianhao & Tian, Jun & Zhu, Hongyu & Goh, Hui Hwang & Liu, Hui & Wu, Thomas & Zhang, Dongdong, 2023. "Key technologies and developments of multi-energy system: Three-layer framework, modelling and optimisation," Energy, Elsevier, vol. 277(C).
  17. Martin Hammerschmid & Daniel Cenk Rosenfeld & Alexander Bartik & Florian Benedikt & Josef Fuchs & Stefan Müller, 2023. "Methodology for the Development of Virtual Representations within the Process Development Framework of Energy Plants: From Digital Model to Digital Predictive Twin—A Review," Energies, MDPI, vol. 16(6), pages 1-30, March.
  18. Cerna, Fernando V. & Pourakbari-Kasmaei, Mahdi & Barros, Raone G. & Naderi, Ehsan & Lehtonen, Matti & Contreras, Javier, 2023. "Optimal operating scheme of neighborhood energy storage communities to improve power grid performance in smart cities," Applied Energy, Elsevier, vol. 331(C).
  19. Hidayati Ramli & Zahirah Mokhtar Azizi & Niraj Thurairajah, 2024. "Sustainable Smart City Technologies and Their Impact on Users’ Energy Consumption Behaviour," Energies, MDPI, vol. 17(4), pages 1-28, February.
  20. Chen, Mengxiao & Cao, Xiaoyu & Zhang, Zitong & Yang, Lun & Ma, Donglai & Li, Miaomiao, 2024. "Risk-averse stochastic scheduling of hydrogen-based flexible loads under 100% renewable energy scenario," Applied Energy, Elsevier, vol. 370(C).
  21. Mehmet Efe Biresselioglu & Muhittin Hakan Demir & Sebnem Altinci, 2022. "Understanding the Citizen’s Role in the Transition to a Smart Energy System: Are We Ready?," Sustainability, MDPI, vol. 14(10), pages 1-24, May.
  22. Wang, Jianxiao & An, Qi & Zhao, Yue & Pan, Guangsheng & Song, Jie & Hu, Qinran & Tan, Chin-Woo, 2023. "Role of electrolytic hydrogen in smart city decarbonization in China," Applied Energy, Elsevier, vol. 336(C).
  23. Yan, Zhe & Zhang, Yongming & Liang, Runqi & Jin, Wenrui, 2020. "An allocative method of hybrid electrical and thermal energy storage capacity for load shifting based on seasonal difference in district energy planning," Energy, Elsevier, vol. 207(C).
  24. Judyta Kabus & Michał Dziadkiewicz, 2023. "Modern Management Methods in the Area of Public Housing Resources in the Community," Sustainability, MDPI, vol. 15(10), pages 1-28, May.
  25. Florentina Magda Enescu & Nicu Bizon & Adrian Onu & Maria Simona Răboacă & Phatiphat Thounthong & Alin Gheorghita Mazare & Gheorghe Șerban, 2020. "Implementing Blockchain Technology in Irrigation Systems That Integrate Photovoltaic Energy Generation Systems," Sustainability, MDPI, vol. 12(4), pages 1-30, February.
  26. Elena Korneeva & Nina Olinder & Wadim Strielkowski, 2021. "Consumer Attitudes to the Smart Home Technologies and the Internet of Things (IoT)," Energies, MDPI, vol. 14(23), pages 1-15, November.
  27. Buonomano, Annamaria, 2020. "Building to Vehicle to Building concept: A comprehensive parametric and sensitivity analysis for decision making aims," Applied Energy, Elsevier, vol. 261(C).
  28. Francisco, Abigail & Taylor, John E., 2019. "Understanding citizen perspectives on open urban energy data through the development and testing of a community energy feedback system," Applied Energy, Elsevier, vol. 256(C).
  29. Olga Pilipczuk, 2021. "Determinants of Managerial Competences Transformation in the Polish Energy Industry," Energies, MDPI, vol. 14(20), pages 1-27, October.
  30. Laha, Priyanka & Chakraborty, Basab, 2021. "Cost optimal combinations of storage technologies for maximizing renewable integration in Indian power system by 2040: Multi-region approach," Renewable Energy, Elsevier, vol. 179(C), pages 233-247.
  31. D’ascenzo Fabrizio & Tantau Adrian & Savastano Marco & Şanta Ana-Maria Iulia, 2019. "New Energy Policies for Smart Cities - a Comparison among Smart Cities in the European Union," Proceedings of the International Conference on Business Excellence, Sciendo, vol. 13(1), pages 1140-1149, May.
  32. Walied Alharbi, 2023. "Integrating Internet-of-Things-Based Houses into Demand Response Programs in Smart Grid," Energies, MDPI, vol. 16(9), pages 1-13, April.
  33. Mohammed Mahmoud Khattab & Ahmed Abdelrahim & Eman Youssef & Mostafa Saad Hamad & Rania A. Elmanfaloty, 2024. "Carbon Footprint Optimization with Data Resolution Conversion via Kalman Filter for Smart Energy Hub," Sustainability, MDPI, vol. 16(20), pages 1-18, October.
  34. Yin, Linfei & Tao, Min, 2023. "Balanced broad learning prediction model for carbon emissions of integrated energy systems considering distributed ground source heat pump heat storage systems and carbon capture & storage," Applied Energy, Elsevier, vol. 329(C).
  35. Shi, Zhongtuo & Yao, Wei & Li, Zhouping & Zeng, Lingkang & Zhao, Yifan & Zhang, Runfeng & Tang, Yong & Wen, Jinyu, 2020. "Artificial intelligence techniques for stability analysis and control in smart grids: Methodologies, applications, challenges and future directions," Applied Energy, Elsevier, vol. 278(C).
  36. Hachem-Vermette, Caroline & Singh, Kuljeet, 2020. "Developing an optimization methodology for urban energy resources mix," Applied Energy, Elsevier, vol. 269(C).
  37. Jing, Rui & Kuriyan, Kamal & Lin, Jian & Shah, Nilay & Zhao, Yingru, 2020. "Quantifying the contribution of individual technologies in integrated urban energy systems – A system value approach," Applied Energy, Elsevier, vol. 266(C).
  38. Musawenkosi Lethumcebo Thanduxolo Zulu & Rudiren Pillay Carpanen & Remy Tiako, 2023. "A Comprehensive Review: Study of Artificial Intelligence Optimization Technique Applications in a Hybrid Microgrid at Times of Fault Outbreaks," Energies, MDPI, vol. 16(4), pages 1-32, February.
  39. Sajjad Miran & Muhammad Tamoor & Tayybah Kiren & Faakhar Raza & Muhammad Imtiaz Hussain & Jun-Tae Kim, 2022. "Optimization of Standalone Photovoltaic Drip Irrigation System: A Simulation Study," Sustainability, MDPI, vol. 14(14), pages 1-20, July.
  40. Sun, Jian & Liu, Gang & Sun, Boyang & Xiao, Gang, 2021. "Light-stacking strengthened fusion based building energy consumption prediction framework via variable weight feature selection," Applied Energy, Elsevier, vol. 303(C).
  41. Blumberga, Andra & Vanaga, Ruta & Freimanis, Ritvars & Blumberga, Dagnija & Antužs, Juris & Krastiņš, Artūrs & Jankovskis, Ivars & Bondars, Edgars & Treija, Sandra, 2020. "Transition from traditional historic urban block to positive energy block," Energy, Elsevier, vol. 202(C).
  42. Vítor João Pereira Domingues Martinho, 2024. "Impacts of the Covid-19 context on the European Union energy markets: interrelationships with sustainability," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(9), pages 23465-23477, September.
  43. Abid, Md. Shadman & Apon, Hasan Jamil & Hossain, Salman & Ahmed, Ashik & Ahshan, Razzaqul & Lipu, M.S. Hossain, 2024. "A novel multi-objective optimization based multi-agent deep reinforcement learning approach for microgrid resources planning," Applied Energy, Elsevier, vol. 353(PA).
  44. Pierre Bouchard & Stefan Voß & Leonard Heilig & Xiaoning Shi, 2023. "A Case Study on Smart Grid Technologies with Renewable Energy for Central Parts of Hamburg," Sustainability, MDPI, vol. 15(22), pages 1-29, November.
  45. Pinto, Giuseppe & Piscitelli, Marco Savino & Vázquez-Canteli, José Ramón & Nagy, Zoltán & Capozzoli, Alfonso, 2021. "Coordinated energy management for a cluster of buildings through deep reinforcement learning," Energy, Elsevier, vol. 229(C).
  46. Wang, Shaojian & Xie, Zihan & Wu, Rong & Feng, Kuishang, 2022. "How does urbanization affect the carbon intensity of human well-being? A global assessment," Applied Energy, Elsevier, vol. 312(C).
  47. Paulina Golinska-Dawson & Kanchana Sethanan, 2023. "Sustainable Urban Freight for Energy-Efficient Smart Cities—Systematic Literature Review," Energies, MDPI, vol. 16(6), pages 1-28, March.
  48. Loureiro, Sandra Maria Correia & Guerreiro, João & Tussyadiah, Iis, 2021. "Artificial intelligence in business: State of the art and future research agenda," Journal of Business Research, Elsevier, vol. 129(C), pages 911-926.
  49. Junkai Zhang & Jun Wang & Haoyu Zang & Ning Ma & Martin Skitmore & Ziyi Qu & Greg Skulmoski & Jianli Chen, 2024. "The Application of Machine Learning and Deep Learning in Intelligent Transportation: A Scientometric Analysis and Qualitative Review of Research Trends," Sustainability, MDPI, vol. 16(14), pages 1-34, July.
  50. Magdalena Krystyna Wyrwicka & Ewa Więcek-Janka & Łukasz Brzeziński, 2023. "Transition to Sustainable Energy System for Smart Cities—Literature Review," Energies, MDPI, vol. 16(21), pages 1-26, October.
  51. Rocha, Helder R.O. & Honorato, Icaro H. & Fiorotti, Rodrigo & Celeste, Wanderley C. & Silvestre, Leonardo J. & Silva, Jair A.L., 2021. "An Artificial Intelligence based scheduling algorithm for demand-side energy management in Smart Homes," Applied Energy, Elsevier, vol. 282(PA).
  52. Mimica R. Milošević & Dušan M. Milošević & Dragan M. Stević & Ana D. Stanojević, 2019. "Smart City: Modeling Key Indicators in Serbia Using IT2FS," Sustainability, MDPI, vol. 11(13), pages 1-28, June.
  53. Zhao, Guanjia & Cui, Zhipeng & Xu, Jing & Liu, Wenhao & Ma, Suxia, 2022. "Hybrid modeling-based digital twin for performance optimization with flexible operation in the direct air-cooling power unit," Energy, Elsevier, vol. 254(PC).
  54. Tatiana Tucunduva Philippi Cortese & Jairo Filho Sousa de Almeida & Giseli Quirino Batista & José Eduardo Storopoli & Aaron Liu & Tan Yigitcanlar, 2022. "Understanding Sustainable Energy in the Context of Smart Cities: A PRISMA Review," Energies, MDPI, vol. 15(7), pages 1-38, March.
  55. Shang, Yitong & Yu, Hang & Niu, Songyan & Shao, Ziyun & Jian, Linni, 2021. "Cyber-physical co-modeling and optimal energy dispatching within internet of smart charging points for vehicle-to-grid operation," Applied Energy, Elsevier, vol. 303(C).
  56. Ben Zhang & Lei Ma & Zheng Liu, 2020. "Literature Trend Identification of Sustainable Technology Innovation: A Bibliometric Study Based on Co-Citation and Main Path Analysis," Sustainability, MDPI, vol. 12(20), pages 1-20, October.
  57. Veronika Zavratnik & Dan Podjed & Jure Trilar & Nina Hlebec & Andrej Kos & Emilija Stojmenova Duh, 2020. "Sustainable and Community-Centred Development of Smart Cities and Villages," Sustainability, MDPI, vol. 12(10), pages 1-17, May.
  58. Jun Tang, 2024. "How the Smart Energy Can Contribute towards Achieving the Sustainable Development Goal 7," Sustainability, MDPI, vol. 16(17), pages 1-25, September.
  59. Máximo A. Domínguez-Garabitos & Víctor S. Ocaña-Guevara & Félix Santos-García & Adriana Arango-Manrique & Miguel Aybar-Mejía, 2022. "A Methodological Proposal for Implementing Demand-Shifting Strategies in the Wholesale Electricity Market," Energies, MDPI, vol. 15(4), pages 1-28, February.
  60. Qu, Wanjun & Hong, Hui & Jin, Hongguang, 2019. "A spectral splitting solar concentrator for cascading solar energy utilization by integrating photovoltaics and solar thermal fuel," Applied Energy, Elsevier, vol. 248(C), pages 162-173.
  61. Zheng Li & Ruoyao Tang & Hanbin Qiu & Linwei Ma, 2023. "Smart Energy Urban Agglomerations in China: The Driving Mechanism, Basic Concepts, and Indicator Evaluation," Sustainability, MDPI, vol. 15(15), pages 1-23, August.
  62. Liang, Xuesheng & Ma, Linwei & Chong, Chinhao & Li, Zheng & Ni, Weidou, 2020. "Development of smart energy towns in China: Concept and practices," Renewable and Sustainable Energy Reviews, Elsevier, vol. 119(C).
  63. Alizadeh, Ali & Kamwa, Innocent & Moeini, Ali & Mohseni-Bonab, Seyed Masoud, 2023. "Energy management in microgrids using transactive energy control concept under high penetration of Renewables; A survey and case study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 176(C).
  64. Sara Månsson & Marcus Thern & Per-Olof Johansson Kallioniemi & Kerstin Sernhed, 2021. "A Fault Handling Process for Faults in District Heating Customer Installations," Energies, MDPI, vol. 14(11), pages 1-18, May.
  65. Olga Pilipczuk, 2020. "Sustainable Smart Cities and Energy Management: The Labor Market Perspective," Energies, MDPI, vol. 13(22), pages 1-24, November.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.