scholarly journals Development of smart energy meter to measure energy saving of dimmable LED panel light

2021 ◽  
Vol 1073 (1) ◽  
pp. 012039
Author(s):  
A Parastiwi ◽  
R A Prasojo ◽  
M N H Adzani ◽  
H K Safitri
Keyword(s):  
Energy Saving ◽  
Energy Meter ◽  
Panel Light

scholarly journals Centralized Street Light Energy Control And Monitoring System Over IoT

2019 ◽  
Vol 8 (3) ◽  
pp. 4661-4664
Keyword(s):  
Light Intensity ◽  
Energy Saving ◽  
Energy Efficient ◽  
Status Monitoring ◽  
Energy Meter ◽  
Intensity Control ◽  
Arduino Microcontroller ◽  
Control And Monitoring System ◽  
And Control ◽  
Fast Access

Energy saving is very necessary need in now a days. We are introducing Energy efficient centralized energy monitoring as well as controlling automatically through Internet of things. This proposed system demonstrates energy saving street light intensity control system with low maintenance.This is done by sensing the light intensity from surroundings by LDR Depends on the LDR status street light automatically controlled. Digitization of Energy meter readings in LCD and IoT module for status monitoring. We can control the street light loads though server if in case emergency. Proposed system saves the energy in day mode and it made system is automation. Digitalization of energy meter data through server. We can monitor and control very easily, simple fast access. All input and out modules are interfaced to ARDUINO Microcontroller which process input data and provide output with help of 5V regulated power supply. In this project we used Arduino ide software to write c program and compiling.

Subjective Time Preference and Willingness to Pay for an Energy-Saving Durable Good

2001 ◽  
Vol 32 (3) ◽  
pp. 133-141 ◽  
Author(s):  
Gerrit Antonides ◽  
Sophia R. Wunderink
Keyword(s):  
Willingness To Pay ◽  
Energy Saving ◽  
Subjective Time ◽  
Durable Good ◽  
Discount Function ◽  
Hyperbolic Discount ◽  
The One ◽  
Two Parameter ◽  
Difference Effect ◽  
Better Than

Summary: Different shapes of individual subjective discount functions were compared using real measures of willingness to accept future monetary outcomes in an experiment. The two-parameter hyperbolic discount function described the data better than three alternative one-parameter discount functions. However, the hyperbolic discount functions did not explain the common difference effect better than the classical discount function. Discount functions were also estimated from survey data of Dutch households who reported their willingness to postpone positive and negative amounts. Future positive amounts were discounted more than future negative amounts and smaller amounts were discounted more than larger amounts. Furthermore, younger people discounted more than older people. Finally, discount functions were used in explaining consumers' willingness to pay for an energy-saving durable good. In this case, the two-parameter discount model could not be estimated and the one-parameter models did not differ significantly in explaining the data.

Classroom Lighting Energy-Saving Control System Based on Machine Vision Technology

2018 ◽  
pp. 143-149 ◽  
Author(s):  
Ruijie CHENG
Keyword(s):  
Control System ◽  
Machine Vision ◽  
Energy Saving ◽  
Back Propagation ◽  
Back Propagation Neural Network ◽  
Lighting Control ◽  
Lighting Energy ◽  
Neural Network Algorithm ◽  
Energy Saving Control ◽  
Model Algorithm

In order to further improve the energy efficiency of classroom lighting, a classroom lighting energy saving control system based on machine vision technology is proposed. Firstly, according to the characteristics of machine vision design technology, a quantum image storage model algorithm is proposed, and the Back Propagation neural network algorithm is used to analyze the technology, and a multi­feedback model for energy­saving control of classroom lighting is constructed. Finally, the algorithm and lighting model are simulated. The test results show that the design of this paper can achieve the optimization of the classroom lighting control system, different number of signals can comprehensively control the light and dark degree of the classroom lights, reduce the waste of resources of classroom lighting, and achieve the purpose of energy saving and emission reduction. Technology is worth further popularizing in practice.

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