Intelligent Infrastructure for Energy Efficiency
Abstract
A substantial fraction of wasted energy can be recovered by extending insights from the architecture of the Internet to the infrastructure of buildings.
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Numerous technologies can reduce GHG emissions in designing new and improving existing buildings, often saving money.
“In designing new buildings and improving existing ones, there are numerous technologies that can reduce GHG emissions, often saving money in the process [276,499,595,754,802].”
From Tackling climate change with machine learning (2023) · cites this paper as [276]
Intelligent control systems in buildings can decrease carbon footprint by reducing energy consumed and integrating lower-carbon sources.
“Intelligent control systems in buildings can decrease their carbon footprint both by reducing the energy consumed and by providing means to integrate lower-carbon sources into the electricity mix [277].”
From Tackling climate change with machine learning (2023) · cites this paper as [277]
Cites
End-To-End Arguments In System Design
And, S. R., Saltzer, J. H., Reed, D. P., & Clark, D. D. (1984) · Cited by 2,130 · see citing works
Gershenfeld, N., Krikorian, R., & Cohen, D. (2004) · Scientific American · doi:10.1038/scientificamerican1004-76 · Cited by 489 · see citing works
Self-citationDistributed Control Design for Systems Interconnected Over an Arbitrary Graph
Langbort, C., Chandra, R. S., & D’Andrea, R. (2004) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2004.834123 · Cited by 461 · see citing works
Energy Efficiency Office. Building Technologies Office USDOE Office of Energy Efficiency and Renewable Energy (EERE), Brambley, M., Haves, P., McDonald, S., Torcellini, P., Hansen, D., Holmberg, D., & Roth, K. (2005) · doi:10.2172/1217909 · Cited by 73 · see citing works
An Overview of Artificial Intelligence-Based Methods for Building Energy Systems
Krarti, M. (2003) · Journal of Solar Energy Engineering · doi:10.1115/1.1592186 · Cited by 70 · see citing works
Internet 0: Interdevice Internetworking - End-to-End Modulation for Embedded Networks
Gershenfeld, N., & Cohen, D. (2006) · IEEE Circuits and Devices Magazine · doi:10.1109/mcd.2006.273000 · Cited by 16 · see citing works
Self-citation
Flagged first, then by citations
Cited by
Sorted by citations
Polycentric systems for coping with collective action and global environmental change
Ostrom, E. (2010) · Global Environmental Change · doi:10.1016/j.gloenvcha.2010.07.004 · Cited by 2,460 · see citing works
Elinor Ostrom, B. (2010) · Economic Theory · doi:10.1007/s00199-010-0558-6 · Cited by 474 · see citing works
Review of demand response under smart grid paradigm
Balijepalli, V. S. K. M., Pradhan, V., Khaparde, S. A., & Shereef, R. M. (2011) · IEEE PES Innovative Smart Grid Technologies - India (ISGT India) · doi:10.1109/iset-india.2011.6145388 · Cited by 339 · see citing works
Tackling climate change with machine learning
Rolnick, D., Donti, P. L., Kaack, L. H., Kochanski, K., Lacoste, A., Sankaran, K., Ross, A. S., Milojevic-Dupont, N., Jaques, N., Waldman-Brown, A., et al. (2023) · ACM Computing Surveys · doi:10.1145/3485128 · Cited by 336 · see citing works
Online identification and tracking of subspaces from highly incomplete information
Balzano, L., Nowak, R. D., & Recht, B. (2010) · Allerton Conference on Communication, Control, and Computing · doi:10.1109/allerton.2010.5706976 · Cited by 335 · see citing works
Elinor Ostrom, B. (2016) · Studies in economic theory · doi:10.1007/978-3-319-31943-8_13 · Cited by 242 · see citing works
Solar-powering the Internet of Things
Haight, R., Hänsch, W., & Friedman, D. (2016) · Science · doi:10.1126/science.aag0476 · Cited by 194 · see citing works
Quijano, N., Ocampo‐Martínez, C., Barreiro‐Gomez, J., Obando, G., Pantoja, A. D., & Mojica‐Nava, E. (2017) · IEEE Control Systems · doi:10.1109/mcs.2016.2621479 · Cited by 160 · see citing works
Machine learning for geographically differentiated climate change mitigation in urban areas
Milojevic-Dupont, N., & Creutzig, F. (2020) · Sustainable Cities and Society · doi:10.1016/j.scs.2020.102526 · Cited by 160 · see citing works
Constructing Governance Framework of a Green and Smart Port
Chen, J., Huang, T., Xie, X., Lee, P. T., & Hua, C. (2019) · Journal of Marine Science and Engineering · doi:10.3390/jmse7040083 · Cited by 155 · see citing works
Building-level occupancy data to improve ARIMA-based electricity use forecasts
Newsham, G. R., & Birt, B. J. (2010) · doi:10.1145/1878431.1878435 · Cited by 138 · see citing works
O’Grady, M. J., & O’Hare, G. M. P. (2012) · Science · doi:10.1126/science.1217637 · Cited by 138 · see citing works
High Power Magnetic Field Energy Harvesting through Amplified Magneto‐Mechanical Vibration
Kang, M., Sriramdas, R., Lee, H., Chun, J., Maurya, D., Hwang, G. T., Ryu, J., & Priya, S. (2018) · Advanced Energy Materials · doi:10.1002/aenm.201703313 · Cited by 126 · see citing works
Lee, H., Sriramdas, R., Kumar, P., Sanghadasa, M., Kang, M., & Priya, S. (2020) · Energy & Environmental Science · doi:10.1039/c9ee03902c · Cited by 96 · see citing works
Imaginaries of Sustainability: The Techno-Politics of Smart Cities
Miller, T. R. (2019) · Science as Culture · doi:10.1080/09505431.2019.1705273 · Cited by 80 · see citing works
Intelligent analysis of energy consumption in school buildings
Raatikainen, M., Skön, J.-P., Leiviskä, K., & Kolehmainen, M. (2016) · Applied Energy · doi:10.1016/j.apenergy.2015.12.072 · Cited by 71 · see citing works
Smart infrastructure: an emerging frontier for multidisciplinary research
Ogie, R., Perez, P., & Dignum, V. (2017) · Proceedings of the Institution of Civil Engineers - Smart Infrastructure and Construction · doi:10.1680/jsmic.16.00002 · Cited by 67 · see citing works
Fault detection in commercial building VAV AHU: A case study of an academic building
Deshmukh, S., Samouhos, S., Glicksman, L. R., & Norford, L. K. (2019) · Energy and Buildings · doi:10.1016/j.enbuild.2019.06.051 · Cited by 59 · see citing works
Self-citationA Study of Green Building Prospects on Sustainable Management Decision Making
Mondal, S. R., & Sahoo, K. K. (2019) · Advances in civil and industrial engineering book series · doi:10.4018/978-1-5225-9754-4.ch011 · Cited by 55 · see citing works
Multiscale Design and Integration of Sustainable Building Functions
Gutiérrez, M. P., & Lee, L. P. (2013) · Science · doi:10.1126/science.1237278 · Cited by 35 · see citing works
Options for Near-Term Phaseout of CO2 Emissions from Coal Use in the United States
Kharecha, P. A., Kutscher, C. F., Hansen, J. E., & Mazria, E. (2010) · Environmental Science & Technology · doi:10.1021/es903884a · Cited by 34 · see citing works
Effects of Digitalization on Energy Efficiency: Evidence From Zhejiang Province in China
Niu, Y. F., Lin, X., Luo, H., Zhang, J., & Lian, Y. (2022) · Frontiers in Energy Research · doi:10.3389/fenrg.2022.847339 · Cited by 32 · see citing works
Can cities become self-reliant in energy? A technological scenario analysis for Cleveland, Ohio
Grewal, P. S., & Grewal, P. S. (2012) · Cities · doi:10.1016/j.cities.2012.05.015 · Cited by 30 · see citing works
How Smart Grid Contributes to Energy Sustainability
Hu, Z., Li, C., Cao, Y., Fang, B., He, L., & Zhang, M. (2014) · Energy Procedia · doi:10.1016/j.egypro.2014.11.982 · Cited by 29 · see citing works
Using the Big Data generated by the Smart Home to improve energy efficiency management
Fernández, M. R., García, A. C., Alonso, I. G., & Zalama, E. (2015) · Energy Efficiency · doi:10.1007/s12053-015-9361-3 · Cited by 26 · see citing works
Power monitoring system for university buildings: Architecture and advanced analysis tools
Domínguez, M., Fuertes, J. J., Alonso, S., Prada, M. A., Morán, A., & Barrientos, P. (2013) · Energy and Buildings · doi:10.1016/j.enbuild.2012.12.020 · Cited by 25 · see citing works
Modelling Indoor Air Carbon Dioxide (Co2)Concentration Using Neural Network
Skön, J.-P., Johansson, M., Raatikainen, M., Leiviskä, K., & Kolehmainen, M. (2012) · doi:10.5281/zenodo.1077820 · Cited by 25 · see citing works
Kiluk, S. (2017) · Energy Conversion and Management · doi:10.1016/j.enconman.2017.05.006 · Cited by 22 · see citing works
Covariance Matrix Estimation With Non Uniform and Data Dependent Missing Observations
Pavez, E., & Ortega, A. (2020) · IEEE Transactions on Information Theory · doi:10.1109/tit.2020.3039118 · Cited by 21 · see citing works
Mahmoud, A. M., Ben-Nakhi, A. E., Ben-Nakhi, A., & Al-Ajmi, R. M. (2011) · Journal of Building Performance Simulation · doi:10.1080/19401493.2011.565886 · Cited by 21 · see citing works
Energy consumption and air quality monitoring system
Skön, J.-P., Kauhanen, O., & Kolehmainen, M. (2011) · International Conference on Intelligent Sensors, Sensor Networks and Information Processing · doi:10.1109/issnip.2011.6146606 · Cited by 19 · see citing works
Dynamic classification system in large-scale supervision of energy efficiency in buildings
Kiluk, S. (2014) · Applied Energy · doi:10.1016/j.apenergy.2014.06.054 · Cited by 15 · see citing works
Kim, S., Hong, K., Saeed, M. A., Kim, T. H., Ahn, H., Lee, W., Shim, J. W., & Kim, Y. (2023) · Applied Surface Science · doi:10.1016/j.apsusc.2023.157140 · Cited by 13 · see citing works
Ferrari, S., Beccali, M., Caputo, P., & Zizzo, G. (2020) · Journal of Architectural Engineering · doi:10.1061/(asce)ae.1943-5568.0000415 · Cited by 9 · see citing works
Hildmann, H., Atia, D. Y., Ruta, D., Poon, K., & Isakovic, A. F. (2018) · Springer eBooks · doi:10.1007/978-3-319-93100-5_11 · Cited by 8 · see citing works
Handling missing data in high-dimensional subspace modeling
Nowak, R. D., Recht, B., & Balzano, L. K. (2012) · Cited by 7 · see citing works
Zhao, L., & Zhang, J. (2015) · Energy · doi:10.1016/j.energy.2015.10.005 · Cited by 7 · see citing works
Population dynamics applied to building energy efficiency
Obando, G., Quijano, N., & Pantoja, A. D. (2011) · IEEE Conference on Decision and Control (CDC) · doi:10.1109/cdc.2011.6160406 · Cited by 6 · see citing works
Omrany, H., Ghaffarianhoseini, A., GhaffarianHoseini, A., Dhawan, K., Almhafdy, A., & Oteng, D. (2024) · Urban sustainability · doi:10.1007/978-981-99-9014-6_11 · Cited by 5 · see citing works
Green Data Centers: Advancing Sustainability in the Digital Era
Elavarasi, J., Amudha, G., Ananthi, S. N., Thilagam, T., Saratha, B., & Siva Subramanian, R. (2025) · International Conference Trends Material Science and Inventive Materials · doi:10.1109/ictmim65579.2025.10988439 · Cited by 5 · see citing works
Analysing Events and Anomalies in Indoor Air Quality Using Self-Organizing Maps
Skön, J.-P., Johansson, M., Raatikainen, M., Haverinen‐Shaughnessy, U., Pasanen, P. O., Leiviskä, K., & Kolehmainen, M. (2012) · Cited by 5 · see citing works
Pantoja, A. D., Ordóñez, J. C., & Castillo, J. F. (2016) · Ingenieria Solidaria · doi:10.16925/in.v19i20.1415 · Cited by 5 · see citing works
IoT-enabled user agency for building sustainability
Lee, S., Dieng, O. T., Shangguan, L., Biehl, J. T., Lee, A. J., Mossé, D., & Chrysanthis, P. K. (2023) · Frontiers in the Internet of Things · doi:10.3389/friot.2023.1214913 · Cited by 5 · see citing works
Ilango, D. P. R., Ilango, V., & Sridharan, K. (2022) · Elsevier eBooks · doi:10.1016/b978-0-323-99714-0.00007-8 · Cited by 4 · see citing works
Analysis of electricity bills using visual continuous maps
Morán, A., Fuertes, J. J., Domínguez, M., Prada, M. A., Alonso, S., & Barrientos, P. (2013) · Neural Computing and Applications · doi:10.1007/s00521-013-1409-8 · Cited by 4 · see citing works
How Information and Communication Technologies Will Shape SmartGrids
Privat, G. (2013) · doi:10.1002/9781118562581.ch9 · Cited by 4 · see citing works
A wireless sensor network based on DFB lasers for water vapor detection
Cao, F., Wang, Y., Liu, L., & Cong, M. (2013) · Sensors and Actuators B Chemical · doi:10.1016/j.snb.2013.11.112 · Cited by 3 · see citing works
Comparative Analysis of Power Consumption in University Buildings Using envSOM
Alonso, S., Domínguez, M., Prada, M. A., Sulkava, M., & Hollmén, J. (2011) · Lecture notes in computer science · doi:10.1007/978-3-642-24800-9_4 · Cited by 3 · see citing works
Tackling Climate Change With Artificial Intelligence
Kadam, A., Vempaty, L. N., Melam, D. P. K., Vairavel, D. K., Deepak, A., & Patil, V. H. (2023) · International Conference on Contemporary Computing and Informatics (IC3I) · doi:10.1109/ic3i59117.2023.10398121 · Cited by 2 · see citing works
Smart power outlets with cross-layer communication
Hiranaka, Y., Sato, Y., Taketa, T., & Miura, S. (2011) · International Conference on Advanced Communication Technology · Cited by 2 · see citing works
Modular Rapidly Manufactured Small Satellite (MRMSS)
Trinh, G., & Cheung, K. (2015) · AIAA Aerospace Sciences Meeting · doi:10.2514/6.2015-0941 · Cited by 2 · see citing works
Scelza, S., Costa, V., Delponte, I., & Schenone, C. (2025) · International Journal of Sustainable Energy · doi:10.1080/14786451.2025.2527086 · Cited by 1 · see citing works
Yan, J., & Wang, H. (2026) · Economic Analysis and Policy · doi:10.1016/j.eap.2026.06.019 · Cited by 1 · see citing works
Xuereb, K., & Parkin, I. P. (2019) · Proceedings of the Institution of Civil Engineers - Smart Infrastructure and Construction · doi:10.1680/jsmic.20.00025 · Cited by 1 · see citing works
Kim, S., Baek, H. E., Saeed, M. A., Kim, T. H., Chen, S., Ahn, H., Lee, W., Kim, Y., & Shim, J. W. (2023) · International Journal of Energy Research · doi:10.1155/2023/3367579 · Cited by 1 · see citing works
Yang, L., Wu, W., & Liu, X. (2023) · Advances in Science, Technology & Innovation/Advances in science, technology & innovation · doi:10.1007/978-3-031-46109-5_3 · Cited by 1 · see citing works
Design and Implementation of Energy Saving Controller for Air-Conditioner in Building
Zhao, L., Zhang, J., Shen, Y., & Wu, W. (2015) · International Journal of Smart Home · doi:10.14257/ijsh.2015.9.8.06 · Cited by 1 · see citing works
Yu, H., Zhang, J., & Liang, R. (2019) · Building Simulation · doi:10.1007/s12273-018-0503-3 · Cited by 1 · see citing works
Fernández, M. R. (2016) · doi:10.35376/10324/16687 · Cited by 1 · see citing works
Supporting environmental awareness using mobile clients
Houqani, A. A., Hildmann, H., Nicolas, S., & Saffre, F. (2013) · International Conference on Innovations in Information Technology · doi:10.1109/innovations.2013.6544398
Analysis of Electricity Bill Data using Interactive Dimensionality Reduction
Alonso, S., Prada, M. A., Fuertes, J. J., Díaz, I., & Domínguez, M. (2015) · International Conference on Engineering Applications of Neural Networks · doi:10.1145/2797143.2797163
The Impact of Intelligent Infrastructure Investment on the Well-Being of a CountryPreprint
García‐Murillo, M. (2013) · SSRN Electronic Journal · doi:10.2139/ssrn.2242572
Advanced tools for electricity consumption monitoring
Domínguez, M., Fuertes, J. J., Alonso, S., Prada, M. A., Morán, A., & Barrientos, P. (2017) · Renewable Energy and Power Quality Journal · doi:10.24084/repqj10.339
Research on Computational Intelligence for Co-Learning Enabled Healthy and Sustainable Housing.
Skön, J.-P., Rönkkö, M., Raatikainen, M., Juhola, M., Främling, K., & Kolehmainen, M. (2013)
Sobrinho, O. P. D. C., Marè, R. M., Leite, B. K. V., & Cugnasca, C. E. (2013) · Conferência Internacional da LARES · doi:10.15396/lares_2013_776-1108-1-rv
Armaroli, N., & Balzani, V. (2010) · doi:10.1002/9783527633593.refs
Grösser, S. N. (2012) · Contributions to management science · doi:10.1007/978-3-7908-2858-0_1
Patil, P. P., & Sondkar, S. (2022) · IEEE Pune Section International Conference (PuneCon) · doi:10.1109/punecon55413.2022.10014935
Liu, X., Wu, J., Liang, X., Sun, X., He, X. S., Xu, Y., Lu, Y., Ju, D., Hu, Z., & Liu, M. (2026) · Chemical Engineering Journal · doi:10.1016/j.cej.2026.178357
Energy Efficiency Strategies in Buildings and Infrastructure
Vasudev, H. (2026) · World sustainability series · doi:10.1007/978-3-032-30239-7_5
- Authors
- Gershenfeld, N., Samouhos, S., & Nordman, B.
- Affiliations
- Massachusetts Institute of Technology (US)
- Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA.
- ORCID
- Gershenfeld, Neil
- Venue
- Science
- Published
- 2010-02-26
- Volume
- 327
- Issue
- 5969
- Pages
- 1086-1088
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W2006554909
- Cited by
- 71
- References
- 6
- Citations by year
- 2026: 3 · 2025: 2 · 2024: 1 · 2023: 5 · 2022: 5 · 2020: 4 · 2019: 6 · 2018: 2 · 2017: 4 · 2016: 5 · 2015: 5 · 2014: 2 · 2013: 9 · 2012: 6
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Science (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Physical Sciences › Engineering › Building and Construction › Building Energy and Comfort Optimization
- Physical Sciences › Computer Science › Hardware and Architecture › Energy Efficiency in Computing
- Physical Sciences › Engineering › Building and Construction › Building energy efficiency and sustainability
- Keywords
- energy efficiency, building energy management, smart infrastructure, building architecture
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