Sustainable Infrastructures
Parent: Center for Information Technology Research in the Interest of Society (CITRIS)
eScholarship stats: Breakdown by Item for June through September, 2026
| Item | Title | Total requests | Download | View-only | %Dnld |
|---|---|---|---|---|---|
| 4nz6g9kg | sMAP — a Simple Measurement and Actuation Profile for Physical Information. | 190 | 92 | 98 | 48.4% |
| 9390n4hc | Micro-synchrophasors for distribution systems | 179 | 49 | 130 | 27.4% |
| 66v552xx | XBOS: An Extensible Building Operating System | 164 | 63 | 101 | 38.4% |
| 79w4m753 | Abnormal event detection with high resolution micro-PMU data | 155 | 28 | 127 | 18.1% |
| 0dr6p7wc | On the definition of cyber-physical resilience in power systems. | 145 | 33 | 112 | 22.8% |
| 7pd2h1rq | A Linear Power Flow Formulation for Three-Phase Distribution Systems | 139 | 35 | 104 | 25.2% |
| 9qq066hw | Optimal dispatch of reactive power for voltage regulation and balancing in unbalanced distribution systems | 139 | 31 | 108 | 22.3% |
| 9vg0316f | BTrDB: Optimizing Storage System Design for Timeseries Processing | 138 | 22 | 116 | 15.9% |
| 0h5046n4 | A Living Laboratory Study in Personalized Automated Lighting Controls | 128 | 51 | 77 | 39.8% |
| 7bz2n6jp | Phasor Measurements for DistributionSystem Applications | 117 | 31 | 86 | 26.5% |
| 2cn5n4p9 | The Local Team: Leveraging Distributed Resources to Improve Resilience | 116 | 42 | 74 | 36.2% |
| 974620tg | Deep Demand Response: The Case Study of the CITRIS Building at the University of California-Berkeley | 114 | 27 | 87 | 23.7% |
| 17s2s5w7 | Bayesian linear state estimation using smart meters and PMUs measurements in distribution grids | 112 | 32 | 80 | 28.6% |
| 61w8z66w | DISTIL: Design and Implementation of a Scalable Synchrophasor Data Processing System. | 110 | 41 | 69 | 37.3% |
| 53w685k5 | Abnormal event detection with high resolution micro-PMU data | 100 | 29 | 71 | 29.0% |
| 2qv517b0 | Towards a Wiser Use of Intelligence: Fieldwork in the Application of Information Technology in a Commercial Building. | 85 | 23 | 62 | 27.1% |
| 8zq9x1qx | Distribution network topology detection with time-series measurements | 85 | 33 | 52 | 38.8% |
| 1qc2b40h | Phase identification in distribution networks with micro-synchrophasors | 83 | 27 | 56 | 32.5% |
| 1kt5524d | Micro-Synchrophasors for Distribution Systems | 81 | 19 | 62 | 23.5% |
| 5368q9mp | <strong>Enabling Advanced Environmental Conditioning with a Building Application Stack.</strong> | 81 | 33 | 48 | 40.7% |
| 846892fv | Accuracy and validation of measured and modeled data for distributed PV interconnection and control | 81 | 29 | 52 | 35.8% |
| 2qf9607m | Addressing the challenges for integrating micro-synchrophasor data with operational system applications | 69 | 20 | 49 | 29.0% |
| 5bw572t4 | Data-driven approach for distribution network topology detection | 68 | 20 | 48 | 29.4% |
| 49d6x8tz | Topology detection in microgrids with micro-synchrophasors | 65 | 20 | 45 | 30.8% |
Note: Due to the evolving nature of web traffic, the data presented here should be considered approximate and subject to revision. Learn more.