We collect almost 248,166 public microblogs according to selected 97 hashtags of "Top 100" on Instagram. The final collection contains 56861 microblogs which include both text and image, called MultiModal data from Instagram (MM-INS). We filter duplicate hashtags in one sample and drop out those microblogs without texts.
Dynamic data for frequency control with continuous UFLS and LCFB1
This dataset is supplementary material to the draft 'Continuous Under-Frequency Load Shedding Scheme for Power System Adaptive Frequency Control' submitted to IEEE Transactions on Power Systems. Authors of the draft are: Changgang Li, Member, IEEE, Yue Wu, Yanli Sun, Hengxu Zhang, Member, IEEE, Yutian Liu, Senior Member, IEEE, Yilu Liu, Fellow, IEEE, and Vladimir Terzija, Fellow, IEEE
Monitoring cell viability and proliferation in real-time provides a more comprehensive picture of the changes cells undergo during their lifecycle than can be achieved using traditional end-point assays. Our lab has developed a CMOS biosensor that monitors cell viability through high-resolution capacitance measurements of cell adhesion quality. The system consists of a 3 × 3 mm2 chip with an array of 16 sensors, on-chip digitization, and serial data output that can be interfaced with inexpensive off-the-shelf components.
Test systems are important tools and benchmark for power system research. Currently, there is a lack of standard test systems for modern transmission expansion planning (TEP) research, especially under high variable renewable energy (VRE) penetrations. This paper describes a 38-bus test system named the HRP-38 system dedicated to TEP. “HRP” stands for high renewable penetration. The objective of establishing such a system is to provide a consistent platform for different TEP methods to be tested and compared.
This dataset contains data used for case studies in paper titled “Towards Flexible Risk-Limiting Operation of Multi-Terminal HVDC Grids with Vast Wind Generation” submitted to IEEE Transactions on Sustainable Energy.
This dataset details the raw data obtained from simulation experiments of heritage tourism. It details several parameter sweeps and experiments done to characterise an agent-based model created for the purpose of exploring the role of communication strategies and topology in determining the transformation of cultural systems.
This dataset uses a newly introduced method for the analysis of the effects on WCET of the toolchain configurations used in real-time systems. It is the result of a full factorial experiment comparing SCADE code generation tools (SCADE 5 and 6), compilers (Wind River, GCC, Code Warrior), optimization settings, and WCET analysis tools (high water mark measurement, Rapita RVS, Otawa, AbsInt aiT). SCADE generated software is targeted due to its prevalence in hard real-time systems that require WCET analysis for scheduling.
These two data sets are the generation and load profiles for a modified IEEE 123-node case and Nanji case.
This dataset contains daily maximum load data with the average demand, customer count and PV capacity at two substations Arkana and Muchea, Western Australia used in the accepted IEEE Transactions on Power Systemspaper titled “The Use of Extreme Value Theory for Forecasting Long-Term Substation Maximum Electricity Demand” by Li and Jones (2019). The dataset spans from 01/01/2008 to 30/06/2022, part history (01/01/2008 to 16/09/2018) and part forecast (17/09/2018 to 30/06/2022). The dataset is beneficial to various research such as long-term load forecast.
This dataset contains daily maximum load data with the average demand, customer count and PV capacity at two substations Arkana and Muchea, Western Australia used in the accepted IEEE Transactions on Power Systemspaper titled “The Use of Extreme Value Theory for Forecasting Long-Term Substation Maximum Electricity Demand” by Li and Jones (2019). The dataset spans from 01/01/2008 to 30/06/2022, part history (01/01/2008 to 16/09/2018) and part forecast (17/09/2018 to 30/06/2022). The dataset is beneficial to various research such as long-term load forecast.
This dataset contains daily maximum load data with the average demand, customer count and PV capacity at two substations Arkana and Muchea, Western Australia used in the accepted IEEE Transactions on Power Systemspaper titled “The Use of Extreme Value Theory for Forecasting Long-Term Substation Maximum Electricity Demand” by Li and Jones (2019). The dataset spans from 01/01/2008 to 30/06/2022, part history (01/01/2008 to 16/09/2018) and part forecast (17/09/2018 to 30/06/2022). The dataset is beneficial to various research such as long-term load forecast.
Data set contains logs from OptiTrack motion camera system and flex sensor information from a smart glove. Participants performed finger taps for 10 secs.
The LCL filter design procedure presented here is similar to that presented in references [1] and [2]. Here, the procedure is presented in a step-by-step way and the simulation file is freely available on http://busarello.prof.ufsc.br/
[1] Teodorescu, R. ; Liserre, M. ; Rodriguez, P. . Grid Converters for Photovoltaic and Wind Power Systems. 2011, Wiley.
The DFT and FFT are used mainly to obtain the amplitude of a harmonic component from a periodic signal containing several harmonics. For instance, it is desired to know the 180 Hz harmonic amplitude from a signal. Then, the DFT and FFT are the best choices to do that.
Data from measurements in Åre during the winter 2018-2019.
The research subject of this papper is five electrical quantities, the phase current of abnormal phase IL, the sheath current of initial terminal Iss, the sheath current of last end Ise and other two phase currents IO1, IO2.
It is often the case that the frequency response data of a system or a network is available and one wants to identify a linear equivalent from the frequency response data for time-domain simulations and other purposes. To this end, a variety of methods have been proposed, and the vector fitting (VF) method and the frequency-partitioning fitting (FpF) method are often used for electromagnetic transient (EMT) simulations of power systems.
This dataset is the experimental results for the manuscript titled “Measuring and improving communication robustness of networks”.
It is the supplement for our old article.
See our next articles.
Suppl. to: Notchenko A., Endaltsev N., Gradov O. Novel FRAP techniques... Preprint, 2019.
For more details see original article.
Real life business processes change over time, in both planned and unexpected ways. These changes over time are called concept drifts and its detection is a big challenge in process mining since the inherent complexity of the data makes difficult distinguishing between a change and an anomalous execution. The following logs were generated synthetically in order to prove the quality of different concept drift detection algorithms.
It is only experimental data for paper supplement formation [draft version]. See our next articles for more details.
