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Graphene-Based Silicon Photonic Electro-Absorption Modulators and Phase Modulators

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Time Evidence Fusion Network: Multi-Source View in Long-Term Time Series Forecasting

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Black software — the energy unsustainability of software systems in the 21st century

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A dynamic ensemble approach for multi-step price prediction: Empirical evidence from crude oil and shipping market

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Optimal dynamic thermal management for data center via soft actor-critic algorithm with dynamic control interval and combined-value state space

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VM consolidation improvement approach using heuristics granular rules in cloud computing environment

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Applying Fuzzy Time Series for Developing Forecasting Electricity Demand Models

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Comprehensive assessment of coolants used single-phase immersion cooling data center

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The complexity of transitioning from oil dependency: A dynamic modelling case study of Indonesia

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Experimental Research on Cooling Performances of Radial Expanding-Channeled Heat Sinks Applied for Multiple Heat Sources

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Overcoming the Data Deluge Challenges with Greener Electronics

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Deng, P., Xu, Q., Zhu, X., & Dong, W. (2025) · International Journal of Thermal Sciences · doi:10.1016/j.ijthermalsci.2025.110465 · Cited by 6

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Ali, Q. I. (2026) · Discover Artificial Intelligence · doi:10.1007/s44163-025-00823-7 · Cited by 6

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Shukla, M. Y., & Kandlikar, S. G. (2024) · Enhanced heat transfer/Journal of enhanced heat transfer · doi:10.1615/jenhheattransf.2024051600 · Cited by 6

EMaC: Dynamic VM Consolidation Framework for Energy-Efficiency and Multi-metric SLA Compliance in Cloud Data Centers

Mongia, V. (2024) · SN Computer Science · doi:10.1007/s42979-024-02982-3 · Cited by 6

Graph Convolutional Spectral Clustering for Electricity Market Data Clustering

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Su, L., Wu, W., Feng, W., Qin, J., & Ao, Y. (2024) · Energies · doi:10.3390/en17153623 · Cited by 6

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Flores-Martin, D., Lemus-Prieto, F., & Rico‐Gallego, J. (2025) · SoftwareX · doi:10.1016/j.softx.2025.102313 · Cited by 6

Analysis of installed photovoltaic capacity in Mexico: A systems dynamics and conformable fractional calculus approach

Sánchez, J. M. B., Universidad de Guanajuato, C. I.-S., Serrato, R. B., Martínez–Jiménez, L., & Corporación Universitaria Rafael Núñez, C. (2025) · AIMS energy · doi:10.3934/energy.2025015 · Cited by 5

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Villa, G., Ciganda, J. L. C., Abrami, G., & Toppi, T. (2025) · Energies · doi:10.3390/en18133454 · Cited by 5

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Energy-Aware Dynamic Virtual Machine Scheduling in Cloud Computing: A Survey

Ajmera, K., Tewari, T. K., Singh, V. K., Vikash, & Upadhyay, P. K. (2023) · International Conference on Contemporary Computing · doi:10.1145/3607947.3607970 · Cited by 5

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Zhuldassov, N., Bairamkulov, R., & Friedman, E. G. (2024) · Cryogenics · doi:10.1016/j.cryogenics.2024.104013 · Cited by 5

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Fulpagare, Y., Chiou, J.-H., Liao, Y., & Wang, C. (2025) · Journal of Building Engineering · doi:10.1016/j.jobe.2025.112306 · Cited by 5

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Semenov, A. B., & Oganesyan, E. (2021) · E3S Web of Conferences · doi:10.1051/e3sconf/202131104007 · Cited by 5

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Al-Naday, M., Thomos, N., Hu, J., Volckaert, B., Turck, F. D., & Reed, M. J. (2022) · IEEE Transactions on Services Computing · doi:10.1109/tsc.2022.3211739 · Cited by 5

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Ekanayake, S. P., Shah, T., & Evans, S. (2023) · IEEE Conference on Technologies for Sustainability · doi:10.1109/sustech57309.2023.10129569 · Cited by 5

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Mei, Y., Wang, W., Liang, Y., Liu, Q., Chen, S., & Wang, T. (2023) · ACM Transactions on Sensor Networks · doi:10.1145/3617998 · Cited by 5

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Riccio, T. D., Massa, J., Forti, S., & Antonio Brogi, A. (2023) · IEEE/ACM International Conference on Utility and Cloud Computing (UCC) · doi:10.1145/3603166.3632167 · Cited by 5

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Zhang, Y., Chen, L., Wang, H., Zhang, J., Zeng, B., & Liu, W. (2024) · IET Generation Transmission & Distribution · doi:10.1049/gtd2.13249 · Cited by 5

Green IT: The Evolution of Environmental Concerns Within ICT Policy, Research and Practice

Fors, P., Kreps, D., & O’Brien, A. (2024) · Palgrave studies in digital business & enabling technologies · doi:10.1007/978-3-031-61749-2_2 · Cited by 5

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Ma, J.-Y., Li, Q., & Xia, L. (2022) · Systems · doi:10.3390/systems10020027 · Cited by 5

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Cordeiro, D. D. A., Francesquini, E., Amarís, M., Castro, M., Baldassin, A., & Lima, J. V. F. (2023) · Anais do Simpósio Brasileiro de Sistemas de Informação (SBSI) · doi:10.5753/sbsi_estendido.2023.229291 · Cited by 5

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Maji, D., Hanafy, W. A., Li, W., Irwin, D., Shenoy, P. J., & Sitaraman, R. K. (2025) · ACM SIGEnergy Energy Informatics Review · doi:10.1145/3757892.3757899 · Cited by 4

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Erkek, T. Ü., Erkek, M., Aydın, M. B., & Gezer, K. (2025) · International Journal of Refrigeration · doi:10.1016/j.ijrefrig.2025.12.007 · Cited by 4

CNN-based prediction of multi-variables for lithium-ion batteries optimized with TinyML and deployed on edge devices

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Holistic energy analysis method for thermal management architectures of data centers

Park, W. Y., Lee, D., Ganesan, V., Du, X., Pinkus, I., Garimella, V. S., Aguirre, T. G., Nawaz, K., King, W. P., & Miljkovic, N. (2026) · International Journal of Heat and Mass Transfer · doi:10.1016/j.ijheatmasstransfer.2026.128971 · Cited by 4

Virtual Machine Allocation in Cloud Computing Environments using Giant Trevally Optimizer

Zhang, H.-Y. (2023) · International Journal of Advanced Computer Science and Applications · doi:10.14569/ijacsa.2023.01409115 · Cited by 4

Performance and Energy Savings Trade-Off with Uncertainty-Aware Cloud Workload Forecasting

Carraro, D., Rossi, A., Visentin, A., Prestwich, S., & Brown, K. N. (2023) · IEEE International Conference on Network Protocols (ICNP) · doi:10.1109/icnp59255.2023.10355570 · Cited by 4

SUIT: Secure Undervolting with Instruction Traps

Juffinger, J., Kalinin, S., Gruss, D., & Mueller, F. (2024) · International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS) · doi:10.1145/3620665.3640373 · Cited by 4

Adaptive virtual machine placement: a dynamic approach for energy-efficiency, QoS enhancement, and security optimization

Shirafkan, H., & Shameli‐Sendi, A. (2024) · Cluster Computing · doi:10.1007/s10586-024-04763-2 · Cited by 4

Integrating the IoT and New Energy to Promote a Sustainable Low-Carbon Economy

Chen, Y., Hou, Y., & Lyu, J. (2025) · Sustainability · doi:10.3390/su17156755 · Cited by 4

Toward net zero carbon emission, low-power consumption DCs through HT-PEFC based CCHP system and its operational strategy

Ham, S., Kang, T., Lee, W.-Y., & Kim, M. (2025) · International Journal of Hydrogen Energy · doi:10.1016/j.ijhydene.2025.150785 · Cited by 4

Dynamic mechanisms of air logistics driving regional economic development in inland mountainous areas: An exploration of key factors and their multifaceted impacts

Liang, L., & Chen, P. (2025) · Transport Policy · doi:10.1016/j.tranpol.2025.103779 · Cited by 4

Indirect Network Impact on the Energy Consumption in Multi-clouds for Follow-the-renewables Approaches

Vasconcelos, M., Cordeiro, D. D. A., & Dufossé, F. (2022) · International Conference on Smart Cities and Green ICT Systems · doi:10.5220/0011047000003203 · Cited by 4

Reduction of Carbon Footprint of Dynamical System Simulation

Zhao, Y., Nazaré, T. E. D., & Nepomuceno, E. G. (2023) · IEEE International Conference on Industry Applications · doi:10.1109/induscon58041.2023.10374654 · Cited by 4

Long-term Energy Consumption Forecasting for Data Center Industry in China

Liu, W., Mao, H., Cao, Y., Tan, W., Ding, Z., & Wang, P. (2021) · IEEE Conference on Energy Internet and Energy System Integration (EI2) · doi:10.1109/ei252483.2021.9713390 · Cited by 10

Data center growth in the United States: decoupling the demand for services from electricity use

Shehabi, A., Smith, S. J., Masanet, E. R., & Koomey, J. (2018) · Environmental Research Letters · doi:10.1088/1748-9326/aaec9c · Cited by 219

Global datacentre electricity consumption is not correlated with data demand: Responding to implausible assumptions and flawed modelling in Castro et al. (2024)

Schien, D., Berthelot, A., Shabajee, P., & Preist, C. (2025) · Energy Policy · doi:10.1016/j.enpol.2025.114947

Opening the black box of data center electricity consumption forecasting: An application of system dynamics modeling to Northern Virginia

Paccou, R., & Wijnhoven, F. (2026) · Sustainable Futures · doi:10.1016/j.sftr.2026.102072

A Multi-Scenario Prediction Study on Data Center Energy Consumption Integrating Dual-Path Modeling and Regional Decomposition Mechanisms

Wei, Q., Liu, M., Zhang, M., Shi, Y., Du, N., Xiao, Z., & Jin, G. (2025) · International Conference on Energy Technology and Electrical Power (ETEP) · doi:10.1109/etep67941.2025.11440425