The standard for measurement of solar irradiance utilizes the units of watts per meter squared (W/m2).  Irradiance meters are both costly and limited in the ability to measure low irradiance values.  With a lower cost and higher sensitivity in low light conditions, light meters measure luminous flux per unit area (illuminance) utilizing the units of lumens per meter squared or lux (lx).

Description of the proposed method is presented with the support of experimental videos.

Power transmission system losses can typically represent from five to ten percent of the total generation, a quantity worth millions of dollars per year. The purpose of loss allocation in the context of pool dispatch is to assign to each individual generation and load the responsibility of paying for part of the system transmission losses. Since the system losses are non-separable, non-linear functions of the real power generation and loads, the allocation of transmission loss is a challenging and contentious issue in a fully deregulated system.

Dataset of the paper entitled: "Voltage Disturbance Classification for Transmission Grid Using Wavelets and Deep Learning" 

In the dataset, there is the electrical transmission system modeled in Simulink. It also contains the codes to generate the data from the model, extract images from data processing (in this case, a continuous wavelet transform), and image processing. Finally, the program to train the network is also provided. All codes are in M-FILE format.

An emission rate-based carbon tax is applied to fossil-fueled generators along with a Smart Grid resource allocation (SGRA) approach. The former reduces the capacity factors (CFs) of base load serving fossil-fueled units, while the latter reduces the CFs of peak load serving units.  The objective is to quantify the integration of the carbon tax and the SGRA approach on CO2 emissions and electricity prices in a multi-area power grid.

Data for 24-node, 54-node, 86-node, and 138-node test networks for reliability-oriented distribution expansion planning applications; and the results for 24-node and 54-node systems.

This data is related to the paper: "Energy hardware and workload aware job scheduling towards interconnected HPC environments". In includes two energy models for nodes equipped with Intel Gold and Platinum CPUs, and eight application's data, to be used to estimate runtime, energy, and power at different frequencies. For detailed information on the energy model and how to use it, please read the paper.

First model: 2x Platinum 8168 CPU [2.70GHz-1.20GHz]24C, TDP 205W, 12 x 16GB DDR4 SDRAM

Second model: 2x Gold 6254 CPU [3.10GHz-1.20GHz] 18C,TDP 200W, 12 x 32GB DDR4 SDRAM

The large variability of system and types of heating load is a feature of the commercial metering of thermal energy. Heating consumption depends on many factors, for example, wall and roof material, floors number, system (opened and closed) etc. The daily data from heating meters in the residential buildings are presented in this dataset for comparing the thermal characteristics. These data are supplemented by floors number, wall material and year of construction, as well as data on average daily outdoor temperatures.

*This datasheet is being updated progressively to provide more details.

This datasheet provides the phasor measurement data in actual power systems.

These PMU data were recorded during a Low Frequency Oscillation incident and a Short Circuit Incident, respectively.

These PMU data are used for the studies in wide-area control systems (WACS) and PMU data compressions.

Please cite this datasheet and the papers in your work if they help.

The matlab code allows you to model the i-v and p-v charateristic of photovoltaic modules as a 3D look-up table that can be used in Matalb, Simulink or other software like PLECS. The model generated is according to the single-diode, 5 parameters equivalent circuit. The ideal application of this research would be to model the PV input source in power electronics applications, where a converter is interfaced to a PV module.