Electricity meter

About: Electricity meter is a research topic. Over the lifetime, 7894 publications have been published within this topic receiving 42430 citations. The topic is also known as: electric meter & electrical meter.

Electric vehicle charging pile with multi-path control charging sockets

Abstract: The utility model relates to an electric vehicle charging pile with multi-path control charging sockets. One charging pile can meet the simultaneous charging requirement of a plurality of electric vehicles and comprises a main control board. The main control board is respectively connected with a multi-path charging socket control module and a plurality of monitoring boards; the multi-path charging socket control module is also connected with the plurality of monitoring boards; and the main control board is also connected with a charging station backstage of the electric vehicle, a plurality of digital electric meters, an input and output device, an identification device and a network communication device.

A new pulse laser energy meter

Abstract: This article describes a new laser energy meter that converts light pressure to electromotive force. This meter has a sensitivity of 18.9 μV/J. For single‐pulse laser beam energy of a transverse, electric, atmospheric CO2 laser device, the measurement range is from 100 mJ to several joules. It is suitable to measure the energy of laser beam with ultrashort pulse to picosecond durations. The meter features fast response, short recovery time, and no interruption of the laser beam.

Application of a Deep Learning Generative Model to Load Disaggregation for Industrial Machinery Power Consumption Monitoring

Abstract: Non-Intrusive Load Monitoring (NILM) or Load Disaggregation is a set of techniques to identify and monitor loads from readings of aggregated signals from a unique electricity meter on a building. This paper presents a new dataset of industrial electric energy consumption and compares Factorial Hidden Markov Model and a Deep Learning-based model to disaggregate six different industrial machines from a site meter on a factory in Brazil. The Deep Learning-based model reduced normalized disaggregation error (NDE) and signal aggregated error (SAE) in comparison with the FHMM models for the same appliances. It also increased percentage of time during which the machine is correctly classified as turned ON or OFF.

Laser power-energy meter

Abstract: A laser power-energy meter includes a photo-diode which acts as a current generator whose output is directly proportional to the optical power incident upon it. The meter provides a direct measurement of optical energy on a per pulse basis on single or repetitive laser pulses by measuring each pulse individually and storing and displaying the energy of the largest received. It also provides a measurement of the power of CW lasers. The measurements are in terms of amount of energy which would enter the human eye. The meter is battery operated and portable.

Power supply system for supplying electric current to e.g. house to charge battery of hybrid car, has storage device storing surplus of electric solar when amount of electricity is larger than amount of electric current consumed by load

Abstract: The system (10) has a solar electricity generator (16) producing solar electricity by sunlight. An electricity storage device i.e. battery (24), is connected to electrical lines i.e. alternating-current lines (11), for storing electricity. A consumption control unit (18) is provided in a specified time slot that is determined based on a power supply contract. The control unit performs consumption control such that the storage device stores a surplus of electric solar when an amount of the produced electricity is larger than an amount of electric current consumed by an electrical load.