Sustainable Infrastructures
Parent: Center for Information Technology Research in the Interest of Society (CITRIS)
eScholarship stats: Breakdown by Item for August through November, 2024
Item | Title | Total requests | Download | View-only | %Dnld |
---|---|---|---|---|---|
0dr6p7wc | On the definition of cyber-physical resilience in power systems. | 115 | 35 | 80 | 30.4% |
7pd2h1rq | A Linear Power Flow Formulation for Three-Phase Distribution Systems | 63 | 6 | 57 | 9.5% |
9390n4hc | Micro-synchrophasors for distribution systems | 59 | 24 | 35 | 40.7% |
66v552xx | XBOS: An Extensible Building Operating System | 50 | 14 | 36 | 28.0% |
7bz2n6jp | Phasor Measurements for DistributionSystem Applications | 48 | 26 | 22 | 54.2% |
4nz6g9kg | sMAP — a Simple Measurement and Actuation Profile for Physical Information. | 36 | 12 | 24 | 33.3% |
0h5046n4 | A Living Laboratory Study in Personalized Automated Lighting Controls | 33 | 15 | 18 | 45.5% |
2cn5n4p9 | The Local Team: Leveraging Distributed Resources to Improve Resilience | 33 | 17 | 16 | 51.5% |
974620tg | Deep Demand Response: The Case Study of the CITRIS Building at the University of California-Berkeley | 31 | 15 | 16 | 48.4% |
53w685k5 | Abnormal event detection with high resolution micro-PMU data | 29 | 15 | 14 | 51.7% |
9qq066hw | Optimal dispatch of reactive power for voltage regulation and balancing in unbalanced distribution systems | 29 | 14 | 15 | 48.3% |
5368q9mp | <strong>Enabling Advanced Environmental Conditioning with a Building Application Stack.</strong> | 27 | 8 | 19 | 29.6% |
17s2s5w7 | Bayesian linear state estimation using smart meters and PMUs measurements in distribution grids | 26 | 8 | 18 | 30.8% |
61w8z66w | DISTIL: Design and Implementation of a Scalable Synchrophasor Data Processing System. | 26 | 8 | 18 | 30.8% |
5bw572t4 | Data-driven approach for distribution network topology detection | 23 | 8 | 15 | 34.8% |
49d6x8tz | Topology detection in microgrids with micro-synchrophasors | 21 | 13 | 8 | 61.9% |
1qc2b40h | Phase identification in distribution networks with micro-synchrophasors | 18 | 4 | 14 | 22.2% |
2qf9607m | Addressing the challenges for integrating micro-synchrophasor data with operational system applications | 18 | 6 | 12 | 33.3% |
79w4m753 | Abnormal event detection with high resolution micro-PMU data | 18 | 5 | 13 | 27.8% |
9vg0316f | BTrDB: Optimizing Storage System Design for Timeseries Processing | 18 | 2 | 16 | 11.1% |
846892fv | Accuracy and validation of measured and modeled data for distributed PV interconnection and control | 17 | 3 | 14 | 17.6% |
2qv517b0 | Towards a Wiser Use of Intelligence: Fieldwork in the Application of Information Technology in a Commercial Building. | 16 | 6 | 10 | 37.5% |
8zq9x1qx | Distribution network topology detection with time-series measurements | 16 | 4 | 12 | 25.0% |
1kt5524d | Micro-Synchrophasors for Distribution Systems | 14 | 1 | 13 | 7.1% |
Note: Due to the evolving nature of web traffic, the data presented here should be considered approximate and subject to revision. Learn more.