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Big data driven smart energy management: From big data to big insights

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  1. William Villegas-Ch & Xavier Palacios-Pacheco & Milton Román-Cañizares, 2020. "An Internet of Things Model for Improving Process Management on University Campus," Future Internet, MDPI, vol. 12(10), pages 1-16, September.
  2. Eunji Kim & Yoonhee Ha, 2021. "Vitalization Strategies for the Building Energy Management System (BEMS) Industry Ecosystem Based on AHP Analysis," Energies, MDPI, vol. 14(9), pages 1-16, April.
  3. Chen, Wen & Zhou, Kaile & Yang, Shanlin & Wu, Cheng, 2017. "Data quality of electricity consumption data in a smart grid environment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 98-105.
  4. Wu, Ying & Wu, Yanpeng & Guerrero, Josep M. & Vasquez, Juan C., 2021. "A comprehensive overview of framework for developing sustainable energy internet: From things-based energy network to services-based management system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 150(C).
  5. Gökhan Demirdöğen & Zeynep Işık & Yusuf Arayici, 2020. "Lean Management Framework for Healthcare Facilities Integrating BIM, BEPS and Big Data Analytics," Sustainability, MDPI, vol. 12(17), pages 1-33, August.
  6. Vangelis Marinakis, 2020. "Big Data for Energy Management and Energy-Efficient Buildings," Energies, MDPI, vol. 13(7), pages 1-18, March.
  7. Amin, Amin & Mourshed, Monjur, 2024. "Weather and climate data for energy applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 192(C).
  8. Qiao, Lu & Li, Lin & Fei, Junjun, 2022. "Information infrastructure and air pollution: Empirical analysis based on data from Chinese cities," Economic Analysis and Policy, Elsevier, vol. 73(C), pages 563-573.
  9. William Villegas-Ch & Jhoann Molina-Enriquez & Carlos Chicaiza-Tamayo & Iván Ortiz-Garcés & Sergio Luján-Mora, 2019. "Application of a Big Data Framework for Data Monitoring on a Smart Campus," Sustainability, MDPI, vol. 11(20), pages 1-15, October.
  10. Miguel Ángel Rodríguez López & Diego Rodríguez Rodríguez, 2024. "La aplicación de datos masivos en economía de la energía: una revisión," Working Papers 2024-08, FEDEA.
  11. Nadeem, Ahmad & Arshad, Naveed, 2021. "A data-driven approach to reduce electricity theft in developing countries," Utilities Policy, Elsevier, vol. 73(C).
  12. Kanakadhurga, Dharmaraj & Prabaharan, Natarajan, 2022. "Demand side management in microgrid: A critical review of key issues and recent trends," Renewable and Sustainable Energy Reviews, Elsevier, vol. 156(C).
  13. Tu, Chunming & He, Xi & Shuai, Zhikang & Jiang, Fei, 2017. "Big data issues in smart grid – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 79(C), pages 1099-1107.
  14. Israel Edem Agbehadji & Samuel Ofori Frimpong & Richard C Millham & Simon James Fong & Jason J Jung, 2020. "Intelligent energy optimization for advanced IoT analytics edge computing on wireless sensor networks," International Journal of Distributed Sensor Networks, , vol. 16(7), pages 15501477209, July.
  15. Wu, Ying & Wu, Yanpeng & Cimen, Halil & Vasquez, Juan C. & Guerrero, Josep M., 2022. "Towards collective energy Community: Potential roles of microgrid and blockchain to go beyond P2P energy trading," Applied Energy, Elsevier, vol. 314(C).
  16. Kaitlin Kish, 2020. "Paying Attention: Big Data and Social Advertising as Barriers to Ecological Change," Sustainability, MDPI, vol. 12(24), pages 1-17, December.
  17. Jihoon Moon & Junhong Kim & Pilsung Kang & Eenjun Hwang, 2020. "Solving the Cold-Start Problem in Short-Term Load Forecasting Using Tree-Based Methods," Energies, MDPI, vol. 13(4), pages 1-37, February.
  18. Marc Ringel & Roufaida Laidi & Djamel Djenouri, 2019. "Multiple Benefits through Smart Home Energy Management Solutions—A Simulation-Based Case Study of a Single-Family-House in Algeria and Germany," Energies, MDPI, vol. 12(8), pages 1-21, April.
  19. Barja-Martinez, Sara & Aragüés-Peñalba, Mònica & Munné-Collado, Íngrid & Lloret-Gallego, Pau & Bullich-Massagué, Eduard & Villafafila-Robles, Roberto, 2021. "Artificial intelligence techniques for enabling Big Data services in distribution networks: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 150(C).
  20. Lyu, Wenjing & Liu, Jin, 2021. "Artificial Intelligence and emerging digital technologies in the energy sector," Applied Energy, Elsevier, vol. 303(C).
  21. Sadeghi, M. & Kalantar, M., 2023. "Fully decentralized multi-agent coordination scheme in smart distribution restoration: Multilevel consensus," Applied Energy, Elsevier, vol. 350(C).
  22. Miller, Clayton & Nagy, Zoltán & Schlueter, Arno, 2018. "A review of unsupervised statistical learning and visual analytics techniques applied to performance analysis of non-residential buildings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 1365-1377.
  23. Oleg Todorov & Kari Alanne & Markku Virtanen & Risto Kosonen, 2021. "A Novel Data Management Methodology and Case Study for Monitoring and Performance Analysis of Large-Scale Ground Source Heat Pump (GSHP) and Borehole Thermal Energy Storage (BTES) System," Energies, MDPI, vol. 14(6), pages 1-25, March.
  24. Najib Rahman Sabory & Tomonobu Senjyu & Mir Sayed Shah Danish & Ayaz Hosham & Ajmal Noorzada & Ahmad Shahpoor Amiri & Zabihullah Muhammdi, 2021. "Applicable Smart City Strategies to Ensure Energy Efficiency and Renewable Energy Integration in Poor Cities: Kabul Case Study," Sustainability, MDPI, vol. 13(21), pages 1-12, October.
  25. Yazdanie, M. & Orehounig, K., 2021. "Advancing urban energy system planning and modeling approaches: Gaps and solutions in perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 137(C).
  26. Maher Selim & Ryan Zhou & Wenying Feng & Peter Quinsey, 2021. "Estimating Energy Forecasting Uncertainty for Reliable AI Autonomous Smart Grid Design," Energies, MDPI, vol. 14(1), pages 1-15, January.
  27. Zhou, Kaile & Yang, Changhui & Shen, Jianxin, 2017. "Discovering residential electricity consumption patterns through smart-meter data mining: A case study from China," Utilities Policy, Elsevier, vol. 44(C), pages 73-84.
  28. Aslam, Sheraz & Herodotou, Herodotos & Mohsin, Syed Muhammad & Javaid, Nadeem & Ashraf, Nouman & Aslam, Shahzad, 2021. "A survey on deep learning methods for power load and renewable energy forecasting in smart microgrids," Renewable and Sustainable Energy Reviews, Elsevier, vol. 144(C).
  29. Filomena Izzo, 2019. "Management Transition to Big Data Analytics: Exploratory Study on Airline Industry," International Business Research, Canadian Center of Science and Education, vol. 12(10), pages 48-56, October.
  30. Guo, Zhifeng & Zhou, Kaile & Zhang, Xiaoling & Yang, Shanlin, 2018. "A deep learning model for short-term power load and probability density forecasting," Energy, Elsevier, vol. 160(C), pages 1186-1200.
  31. Sana Mujeeb & Nadeem Javaid & Manzoor Ilahi & Zahid Wadud & Farruh Ishmanov & Muhammad Khalil Afzal, 2019. "Deep Long Short-Term Memory: A New Price and Load Forecasting Scheme for Big Data in Smart Cities," Sustainability, MDPI, vol. 11(4), pages 1-29, February.
  32. Francesco Cappa & Stefano Franco & Federica Rosso, 2022. "Citizens and cities: Leveraging citizen science and big data for sustainable urban development," Business Strategy and the Environment, Wiley Blackwell, vol. 31(2), pages 648-667, February.
  33. Scapino, Luca & Zondag, Herbert A. & Diriken, Jan & Rindt, Camilo C.M. & Van Bael, Johan & Sciacovelli, Adriano, 2019. "Modeling the performance of a sorption thermal energy storage reactor using artificial neural networks," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
  34. Cen, Xiao & Chen, Zengliang & Chen, Haifeng & Ding, Chen & Ding, Bo & Li, Fei & Lou, Fangwei & Zhu, Zhenyu & Zhang, Hongyu & Hong, Bingyuan, 2024. "User repurchase behavior prediction for integrated energy supply stations based on the user profiling method," Energy, Elsevier, vol. 286(C).
  35. Irina Bogdana Pugna & Dana Maria Boldeanu & Mirela Gheorghe & Gabriel Cozgarea & Adrian Nicolae Cozgarea, 2022. "Management Perspectives towards the Data-Driven Organization in the Energy Sector," Energies, MDPI, vol. 15(16), pages 1-20, August.
  36. Jia, Kunqi & Guo, Ge & Xiao, Jucheng & Zhou, Huan & Wang, Zhihua & He, Guangyu, 2019. "Data compression approach for the home energy management system," Applied Energy, Elsevier, vol. 247(C), pages 643-656.
  37. Fabrizio Bonacina & Alessandro Corsini & Lucio Cardillo & Francesca Lucchetta, 2019. "Complex Network Analysis of Photovoltaic Plant Operations and Failure Modes," Energies, MDPI, vol. 12(10), pages 1-14, May.
  38. Cheng, Fenfen & Yang, Shanlin & Zhou, Kaile, 2020. "Quantile partial adjustment model with application to predicting energy demand in China," Energy, Elsevier, vol. 191(C).
  39. Al-Wakeel, Ali & Wu, Jianzhong & Jenkins, Nick, 2017. "k-means based load estimation of domestic smart meter measurements," Applied Energy, Elsevier, vol. 194(C), pages 333-342.
  40. ASM Shihavuddin & Xiao Chen & Vladimir Fedorov & Anders Nymark Christensen & Nicolai Andre Brogaard Riis & Kim Branner & Anders Bjorholm Dahl & Rasmus Reinhold Paulsen, 2019. "Wind Turbine Surface Damage Detection by Deep Learning Aided Drone Inspection Analysis," Energies, MDPI, vol. 12(4), pages 1-15, February.
  41. Lim, Keumju & Lee, Jongsu & Lee, Hyunjoo, 2021. "Implementing automated residential demand response in South Korea: Consumer preferences and market potential," Utilities Policy, Elsevier, vol. 70(C).
  42. Anand Krishnan Prakash & Susu Xu & Ram Rajagopal & Hae Young Noh, 2018. "Robust Building Energy Load Forecasting Using Physically-Based Kernel Models," Energies, MDPI, vol. 11(4), pages 1-21, April.
  43. Boza, Pal & Evgeniou, Theodoros, 2021. "Artificial intelligence to support the integration of variable renewable energy sources to the power system," Applied Energy, Elsevier, vol. 290(C).
  44. Amasyali, Kadir & El-Gohary, Nora M., 2018. "A review of data-driven building energy consumption prediction studies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 1192-1205.
  45. Wen, Lulu & Zhou, Kaile & Yang, Shanlin & Li, Lanlan, 2018. "Compression of smart meter big data: A survey," Renewable and Sustainable Energy Reviews, Elsevier, vol. 91(C), pages 59-69.
  46. Gabrielle Biard & Georges Abdul Nour, 2021. "Industry 4.0 Contribution to Asset Management in the Electrical Industry," Sustainability, MDPI, vol. 13(18), pages 1-17, September.
  47. Čábelková, Inna & Strielkowski, Wadim & Streimikiene, Dalia & Cavallaro, Fausto & Streimikis, Justas, 2021. "The social acceptance of nuclear fusion for decision making towards carbon free circular economy: Evidence from Czech Republic," Technological Forecasting and Social Change, Elsevier, vol. 163(C).
  48. O’Dwyer, Edward & Pan, Indranil & Acha, Salvador & Shah, Nilay, 2019. "Smart energy systems for sustainable smart cities: Current developments, trends and future directions," Applied Energy, Elsevier, vol. 237(C), pages 581-597.
  49. Carol Vigurs & Chris Maidment & Michael Fell & David Shipworth, 2021. "Customer Privacy Concerns as a Barrier to Sharing Data about Energy Use in Smart Local Energy Systems: A Rapid Realist Review," Energies, MDPI, vol. 14(5), pages 1-33, February.
  50. Ghasemaghaei, Maryam & Calic, Goran, 2019. "Does big data enhance firm innovation competency? The mediating role of data-driven insights," Journal of Business Research, Elsevier, vol. 104(C), pages 69-84.
  51. Wadim Strielkowski & Irina Firsova & Inna Lukashenko & Jurgita Raudeliūnienė & Manuela Tvaronavičienė, 2021. "Effective Management of Energy Consumption during the COVID-19 Pandemic: The Role of ICT Solutions," Energies, MDPI, vol. 14(4), pages 1-17, February.
  52. Agüera-Pérez, Agustín & Palomares-Salas, José Carlos & González de la Rosa, Juan José & Florencias-Oliveros, Olivia, 2018. "Weather forecasts for microgrid energy management: Review, discussion and recommendations," Applied Energy, Elsevier, vol. 228(C), pages 265-278.
  53. Najib Rahman Sabory & Tomonobu Senjyu & Mir Sayed Shah Danish & Mikaeel Ahmadi & Hameedullah Zaheb & Mustafa Halim, 2021. "A Framework for Integration of Smart and Sustainable Energy Systems in Urban Planning Processes of Low-Income Developing Countries: Afghanistan Case," Sustainability, MDPI, vol. 13(15), pages 1-24, July.
  54. Bhuiyan, Erphan A. & Hossain, Md. Zahid & Muyeen, S.M. & Fahim, Shahriar Rahman & Sarker, Subrata K. & Das, Sajal K., 2021. "Towards next generation virtual power plant: Technology review and frameworks," Renewable and Sustainable Energy Reviews, Elsevier, vol. 150(C).
  55. Amin, Amin & Mourshed, Monjur, 2024. "Community stochastic domestic electricity forecasting," Applied Energy, Elsevier, vol. 355(C).
  56. Suyono Thamrin & Rita Ambarwati & Syaiful Hidayat, 2020. "The Strategies of West Java s Regional Energy Management To Support National Energy Security," International Journal of Energy Economics and Policy, Econjournals, vol. 10(6), pages 376-382.
  57. Al-Wakeel, Ali & Wu, Jianzhong & Jenkins, Nick, 2016. "State estimation of medium voltage distribution networks using smart meter measurements," Applied Energy, Elsevier, vol. 184(C), pages 207-218.
  58. Ibrahim Alotaibi & Mohammed A. Abido & Muhammad Khalid & Andrey V. Savkin, 2020. "A Comprehensive Review of Recent Advances in Smart Grids: A Sustainable Future with Renewable Energy Resources," Energies, MDPI, vol. 13(23), pages 1-41, November.
  59. Sellak, Hamza & Ouhbi, Brahim & Frikh, Bouchra & Palomares, Iván, 2017. "Towards next-generation energy planning decision-making: An expert-based framework for intelligent decision support," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 1544-1577.
  60. Aqdas Naz & Muhammad Umar Javed & Nadeem Javaid & Tanzila Saba & Musaed Alhussein & Khursheed Aurangzeb, 2019. "Short-Term Electric Load and Price Forecasting Using Enhanced Extreme Learning Machine Optimization in Smart Grids," Energies, MDPI, vol. 12(5), pages 1-30, March.
  61. Nik, Vahid M. & Moazami, Amin, 2021. "Using collective intelligence to enhance demand flexibility and climate resilience in urban areas," Applied Energy, Elsevier, vol. 281(C).
  62. Mohammad Navid Fekri & Ananda Mohon Ghosh & Katarina Grolinger, 2019. "Generating Energy Data for Machine Learning with Recurrent Generative Adversarial Networks," Energies, MDPI, vol. 13(1), pages 1-23, December.
  63. Emilio Ghiani & Alessandro Serpi & Virginia Pilloni & Giuliana Sias & Marco Simone & Gianluca Marcialis & Giuliano Armano & Paolo Attilio Pegoraro, 2018. "A Multidisciplinary Approach for the Development of Smart Distribution Networks," Energies, MDPI, vol. 11(10), pages 1-29, September.
  64. A-Ru-Han Bao & Yao Liu & Jun Dong & Zheng-Peng Chen & Zhen-Jie Chen & Chen Wu, 2022. "Evolutionary Game Analysis of Co-Opetition Strategy in Energy Big Data Ecosystem under Government Intervention," Energies, MDPI, vol. 15(6), pages 1-24, March.
  65. Stefano Villa & Claudio Sassanelli, 2020. "The Data-Driven Multi-Step Approach for Dynamic Estimation of Buildings’ Interior Temperature," Energies, MDPI, vol. 13(24), pages 1-23, December.
  66. Weichang Kong & Fei Qiao & Qidi Wu, 2020. "Real-manufacturing-oriented big data analysis and data value evaluation with domain knowledge," Computational Statistics, Springer, vol. 35(2), pages 515-538, June.
  67. Papa, Armando & Mital, Monika & Pisano, Paola & Del Giudice, Manlio, 2020. "E-health and wellbeing monitoring using smart healthcare devices: An empirical investigation," Technological Forecasting and Social Change, Elsevier, vol. 153(C).
  68. Se-Hoon Jung & Jun-Ho Huh, 2019. "A Novel on Transmission Line Tower Big Data Analysis Model Using Altered K-means and ADQL," Sustainability, MDPI, vol. 11(13), pages 1-25, June.
  69. Zhang, Liang & Wen, Jin & Li, Yanfei & Chen, Jianli & Ye, Yunyang & Fu, Yangyang & Livingood, William, 2021. "A review of machine learning in building load prediction," Applied Energy, Elsevier, vol. 285(C).
  70. Vinoth Kumar Ponnusamy & Padmanathan Kasinathan & Rajvikram Madurai Elavarasan & Vinoth Ramanathan & Ranjith Kumar Anandan & Umashankar Subramaniam & Aritra Ghosh & Eklas Hossain, 2021. "A Comprehensive Review on Sustainable Aspects of Big Data Analytics for the Smart Grid," Sustainability, MDPI, vol. 13(23), pages 1-35, December.
  71. Seung-Mo Je & Hyeyoung Ko & Jun-Ho Huh, 2021. "Accurate Demand Forecasting: A Flexible and Balanced Electric Power Production Big Data Virtualization Based on Photovoltaic Power Plant," Energies, MDPI, vol. 14(21), pages 1-31, October.
  72. Lin, Zhenjia & Chen, Haoyong & Wu, Qiuwei & Li, Weiwei & Li, Mengshi & Ji, Tianyao, 2020. "Mean-tracking model based stochastic economic dispatch for power systems with high penetration of wind power," Energy, Elsevier, vol. 193(C).
  73. Junfeng Wang & Yaqin Huang & Qing Chang & Shiqi Li, 2019. "Event-Driven Online Machine State Decision for Energy-Efficient Manufacturing System Based on Digital Twin Using Max-Plus Algebra," Sustainability, MDPI, vol. 11(18), pages 1-17, September.
  74. Lu, Xinhui & Liu, Zhaoxi & Ma, Li & Wang, Lingfeng & Zhou, Kaile & Feng, Nanping, 2020. "A robust optimization approach for optimal load dispatch of community energy hub," Applied Energy, Elsevier, vol. 259(C).
  75. Liu, Bo & Hou, Yufan & Luan, Wenpeng & Liu, Zishuai & Chen, Sheng & Yu, Yixin, 2023. "A divide-and-conquer method for compression and reconstruction of smart meter data," Applied Energy, Elsevier, vol. 336(C).
  76. Devin Diran & Thomas Hoppe & Jolien Ubacht & Adriaan Slob & Kornelis Blok, 2020. "A Data Ecosystem for Data-Driven Thermal Energy Transition: Reflection on Current Practice and Suggestions for Re-Design," Energies, MDPI, vol. 13(2), pages 1-28, January.
  77. Mohamed Haddouche & Adrian Ilinca, 2022. "Energy Efficiency and Industry 4.0 in Wood Industry: A Review and Comparison to Other Industries," Energies, MDPI, vol. 15(7), pages 1-25, March.
  78. Frankel, Matthew & Xing, Lu & Chewning, Connor & Sela, Lina, 2021. "Water-energy benchmarking and predictive modeling in multi-family residential and non-residential buildings," Applied Energy, Elsevier, vol. 281(C).
  79. Li, Francis G.N. & Bataille, Chris & Pye, Steve & O'Sullivan, Aidan, 2019. "Prospects for energy economy modelling with big data: Hype, eliminating blind spots, or revolutionising the state of the art?," Applied Energy, Elsevier, vol. 239(C), pages 991-1002.
  80. 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).
  81. Zou, Juan & Yang, Xu & Liu, Zhongbing & Liu, Jiangyang & Zhang, Ling & Zheng, Jinhua, 2021. "Multiobjective bilevel optimization algorithm based on preference selection to solve energy hub system planning problems," Energy, Elsevier, vol. 232(C).
  82. Qi, Haijie & Yue, Hong & Zhang, Jiangfeng & Lo, Kwok L., 2021. "Optimisation of a smart energy hub with integration of combined heat and power, demand side response and energy storage," Energy, Elsevier, vol. 234(C).
  83. Giest, Sarah & Mukherjee, Ishani, 2018. "Behavioral instruments in renewable energy and the role of big data: A policy perspective," Energy Policy, Elsevier, vol. 123(C), pages 360-366.
  84. Wu, Desheng & Xie, Yu, 2024. "Unveiling the impact of public data access on collaborative reduction of pollutants and carbon emissions: Evidence from open government data policy," Energy Economics, Elsevier, vol. 138(C).
  85. Aguilar, J. & Garces-Jimenez, A. & R-Moreno, M.D. & García, Rodrigo, 2021. "A systematic literature review on the use of artificial intelligence in energy self-management in smart buildings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 151(C).
  86. Ahmad, Tanveer & Huanxin, Chen & Zhang, Dongdong & Zhang, Hongcai, 2020. "Smart energy forecasting strategy with four machine learning models for climate-sensitive and non-climate sensitive conditions," Energy, Elsevier, vol. 198(C).
  87. Bisaga, Iwona & Puźniak-Holford, Nathan & Grealish, Ashley & Baker-Brian, Christopher & Parikh, Priti, 2017. "Scalable off-grid energy services enabled by IoT: A case study of BBOXX SMART Solar," Energy Policy, Elsevier, vol. 109(C), pages 199-207.
  88. Diana M Nova Díaz & Aritz Adin & Eduardo Sánchez Iriso, 2024. "QALYs in adults with cerebral palsy: Mapping from the San Martin Scale onto the EQ-5D-5L instrument," Working Papers 2024-07, FEDEA.
  89. Xiaogeng Ren & Chunwang Li & Xiaojun Ma & Fuxiang Chen & Haoyu Wang & Ashutosh Sharma & Gurjot Singh Gaba & Mehedi Masud, 2021. "Design of Multi-Information Fusion Based Intelligent Electrical Fire Detection System for Green Buildings," Sustainability, MDPI, vol. 13(6), pages 1-15, March.
  90. Tavakkoli, Sakineh & Macknick, Jordan & Heath, Garvin A. & Jordaan, Sarah M., 2021. "Spatiotemporal energy infrastructure datasets for the United States: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 152(C).
  91. Zhou, Kaile & Yang, Shanlin & Shao, Zhen, 2016. "Energy Internet: The business perspective," Applied Energy, Elsevier, vol. 178(C), pages 212-222.
  92. Miriam Benedetti & Francesca Bonfà & Vito Introna & Annalisa Santolamazza & Stefano Ubertini, 2019. "Real Time Energy Performance Control for Industrial Compressed Air Systems: Methodology and Applications," Energies, MDPI, vol. 12(20), pages 1-28, October.
  93. Teng, Sin Yong & Touš, Michal & Leong, Wei Dong & How, Bing Shen & Lam, Hon Loong & Máša, Vítězslav, 2021. "Recent advances on industrial data-driven energy savings: Digital twins and infrastructures," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
  94. Ma, Shuaiyin & Zhang, Yingfeng & Lv, Jingxiang & Ge, Yuntian & Yang, Haidong & Li, Lin, 2020. "Big data driven predictive production planning for energy-intensive manufacturing industries," Energy, Elsevier, vol. 211(C).
  95. Ayyoob Sharifi & Zaheer Allam & Bakhtiar Feizizadeh & Hessam Ghamari, 2021. "Three Decades of Research on Smart Cities: Mapping Knowledge Structure and Trends," Sustainability, MDPI, vol. 13(13), pages 1-23, June.
  96. Olga Pilipczuk, 2020. "Sustainable Smart Cities and Energy Management: The Labor Market Perspective," Energies, MDPI, vol. 13(22), pages 1-24, November.
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