Transforming Electrical Load from an Operational Constraint to a Controllable Resource

2017 ◽  
Vol 47 (4) ◽  
pp. 292-304 ◽  
Author(s):  
Rajesh Tyagi ◽  
Weiwei Chen ◽  
Jason Black ◽  
Prasoon Tiwari ◽  
Bernard Lecours ◽  
...  
Keyword(s):  
Electrical Load ◽  
Operational Constraint

Instrument for measuring and recording Electrical load profiles

2018 ◽  
pp. 111-115
Author(s):  
Yuri Kolev ◽  
Атanas Atanasov ◽  
Таnia Pehlivanova
Keyword(s):  
Power Consumption ◽  
Simultaneous Recording ◽  
Active Power ◽  
Power Lines ◽  
Electrical Load ◽  
Current Transformers ◽  
Measuring Device ◽  
Load Profile

A load profile measuring device takes information about the power consumption without modification of the power lines. Using current transformers, the current is measured in each of the phases and the active power consumed by the user is determined. The developed software for it allows for simultaneous recording at different user selectable timing intervals. The device is designed and tested in two facilities - a School and a Farm.

scholarly journals Rectangular current pulse generator to test varistors with pulsed electrical load

2021 ◽  
Vol 1089 (1) ◽  
pp. 012018
Author(s):  
N A Chernenko ◽  
A V Morozov ◽  
A A Myulbaer ◽  
N V Sheglov ◽  
S S Shevchenko ◽  
...  
Keyword(s):  
Current Pulse ◽  
Pulse Generator ◽  
Electrical Load

scholarly journals Identification method of electrical load for electrical appliances based on K-Means++ and GCN

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Mingze Gao ◽  
Shibo Pan ◽  
Sirui Chen ◽  
Yanan Li ◽  
Nan Pan ◽  
...  
Keyword(s):  
Electrical Load ◽  
Identification Method

scholarly journals Electrical Load Forecast by Means of LSTM: The Impact of Data Quality

Forecasting ◽  
2021 ◽  
Vol 3 (1) ◽  
pp. 91-101
Author(s):  
Alfredo Nespoli ◽  
Emanuele Ogliari ◽  
Silvia Pretto ◽  
Michele Gavazzeni ◽  
Sonia Vigani ◽  
...  
Keyword(s):  
Forecast Accuracy ◽  
Electric Load ◽  
Electrical Load ◽  
Autocorrelation Analysis ◽  
Load Forecast ◽  
Error Metrics ◽  
Input Dataset ◽  
Accurate Forecast ◽  
The Impact

Accurate forecast of aggregate end-users electric load profiles is becoming a hot topic in research for those main issues addressed in many fields such as the electricity services market. Hence, load forecast is an extremely important task which should be understood more in depth. In this research paper, the dependency of the day-ahead load forecast accuracy on the basis of the data typology employed in the training of LSTM has been inspected. A real case study of an Italian industrial load with samples recorded every 15 min for the year 2017 and 2018 was studied. The effect in the load forecast accuracy of different dataset cleaning approaches was investigated. In addition, the Generalised Extreme Studentized Deviate hypothesis testing was introduced to identify the outliers present in the dataset. The populations were constructed on the basis of an autocorrelation analysis that allowed for identifying a weekly correlation of the samples. The accuracy of the prediction obtained from different input dataset has been therefore investigated by calculating the most commonly used error metrics, showing the importance of data processing before employing them for load forecast.

scholarly journals Design of a Power System Supervisory Control with Linear Optimization for Electrical Load Management in an Aircraft On-Board DC Microgrid

2021 ◽  
Vol 13 (15) ◽  
pp. 8580
Author(s):  
Luigi Rubino ◽  
Guido Rubino ◽  
Paolo Conti
Keyword(s):  
Supervisory Control ◽  
Linear Optimization ◽  
Load Management ◽  
Flight Safety ◽  
Electrical Load ◽  
Dc Microgrid ◽  
Optimal Energy Management ◽  
Electrical Loads ◽  
Definition Of ◽  
Board System

In modern aircraft, energy supply management has become a critical matter, since many aboard electrical loads have to be supplied, especially those related to flight safety. However, at the same time, the size and weight of electrical generators must be limited because of their on-board installation. In this paper, the Mixed Integrated Linear Programming (MILP) methodology has been used to formulate the Supervisor definition of the direct current (DC) microgrid (MG) on-board system with an extension for the programmable loads. Due to the problem of dimension increase, two methods have been presented and tested to perform optimal energy management (EM) aboard an aircraft: the Branch and Bound (B&B) and the Linear Regression Approximation (LRA). Finally, numerical simulations and results have been provided to validate the proposed optimization methodologies, according to the dimensions and the complexity of the problem.

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