DACF: day-ahead carbon intensity forecasting of power grids using machine learning D Maji, RK Sitaraman, P Shenoy Proceedings of the Thirteenth ACM International Conference on Future Energy …, 2022 | 22 | 2022 |
CarbonCast: multi-day forecasting of grid carbon intensity D Maji, P Shenoy, RK Sitaraman Proceedings of the 9th ACM International Conference on Systems for Energy …, 2022 | 20 | 2022 |
Leveraging programmable dataplanes for a high performance 5g user plane function A Bose, D Maji, P Agarwal, N Unhale, R Shah, M Vutukuru Proceedings of the 5th Asia-Pacific Workshop on Networking, 57-64, 2021 | 15 | 2021 |
Bringing Carbon Awareness to Multi-cloud Application Delivery D Maji, B Pfaff, PR Vipin, R Sreenivasan, V Firoiu, S Iyer, C Josephson, ... | 4 | 2023 |
Multi-Day Forecasting of Electric Grid Carbon Intensity Using Machine Learning D Maji, P Shenoy, RK Sitaraman ACM SIGENERGY Energy Informatics Review 3 (2), 19-33, 2023 | 3 | 2023 |
Untangling Carbon-free Energy Attribution and Carbon Intensity Estimation for Carbon-aware Computing D Maji, N Bashir, D Irwin, P Shenoy, RK Sitaraman arXiv preprint arXiv:2308.06680, 2023 | 2 | 2023 |
GREEN LOAD BALANCING IN GLOBAL LOAD BALANCING DEPLOYMENTS R Sreenivasan, S Iyer, BL Pfaff, V Firoiu, D Maji US Patent App. 18/095,014, 2024 | | 2024 |
The Green Mirage: Impact of Location-and Market-based Carbon Intensity Estimation on Carbon Optimization Efficacy D Maji, N Bashir, D Irwin, P Shenoy, RK Sitaraman arXiv preprint arXiv:2402.03550, 2024 | | 2024 |