Electricity bill forecasting application by home energy monitoring system

2017 ◽  
Author(s):  
Charnon Chupong ◽  
Boonyang Plangklang
Keyword(s):  
Monitoring System ◽  
Energy Monitoring ◽  
Electricity Bill

scholarly journals Design And Development Of Real-Time Small Scale IoT Based Energy Monitoring System

2021 ◽  
Vol 2107 (1) ◽  
pp. 012039
Author(s):  
E.H. MatSaat ◽  
Majid M.A. ◽  
N.H. Abdul Rahman ◽  
Nur Amalina Muhamad ◽  
N. Othman
Keyword(s):  
Monitoring System ◽  
Small Scale ◽  
Monitoring Systems ◽  
Web Page ◽  
Energy Usage ◽  
Energy Monitoring ◽  
Energy Meter ◽  
Electricity Bill ◽  
External Connection ◽  
Energy Conservation Measures

Abstract This paper presents the digitization of small-scale energy monitoring systems based on IoT. The proposed energy monitoring system known as EMOSY eliminates the high-cost energy meter. EMOSY is designed to be portable and practical to use without modification of internal or external connection of appliances. EMOSY is developed by using a voltage detector circuit concept by amplifying the existence of electrostatic. This electrostatic reading sends to the database through Wi-Fi module ESP8266 integrated with Arduino NodeMCU. The web page is designed using Adobe Dreamweaver with HTML and PHP coding. In the proposed system, the user able to monitor the energy usage of each appliance and estimated billing time to time. Based on the result, the energy monitoring system successfully can detect the existence of electrostatic, and the webpage database can display the energy usage extended to the estimated electricity bill. The monitoring system is found to be useful to the residential, commercial, and industrial to monitor energy patterns, which is essential to facilitate energy conservation measures for minimizing energy usage.

A Critical Study on Campus Energy Monitoring System and Role of IoT

2021 ◽  
Author(s):  
Mopuri Deepika ◽  
Merugu Kavitha ◽  
N. S. Kalyan Chakravarthy ◽  
J. Srinivas Rao ◽  
D. Mohan Reddy ◽  
...  
Keyword(s):  
Monitoring System ◽  
Critical Study ◽  
Energy Monitoring ◽  
Campus Energy

Semi-supervised Intrusive Appliance Load Monitoring in Smart Energy Monitoring System

2021 ◽  
Vol 17 (3) ◽  
pp. 1-20
Author(s):  
Vanh Khuyen Nguyen ◽  
Wei Emma Zhang ◽  
Adnan Mahmood
Keyword(s):  
Supervised Learning ◽  
Monitoring System ◽  
End Users ◽  
Training Data ◽  
Smart Device ◽  
Energy Monitoring ◽  
Load Monitoring ◽  
Benchmark Datasets ◽  
Smart Home Environment ◽  
Smart Appliance

Intrusive Load Monitoring (ILM) is a method to measure and collect the energy consumption data of individual appliances via smart plugs or smart sockets. A major challenge of ILM is automatic appliance identification, in which the system is able to determine automatically a label of the active appliance connected to the smart device. Existing ILM techniques depend on labels input by end-users and are usually under the supervised learning scheme. However, in reality, end-users labeling is laboriously rendering insufficient training data to fit the supervised learning models. In this work, we propose a semi-supervised learning (SSL) method that leverages rich signals from the unlabeled dataset and jointly learns the classification loss for the labeled dataset and the consistency training loss for unlabeled dataset. The samples fit into consistency learning are generated by a transformation that is built upon weighted versions of DTW Barycenter Averaging algorithm. The work is inspired by two recent advanced works in SSL in computer vision and combines the advantages of the two. We evaluate our method on the dataset collected from our developed Internet-of-Things based energy monitoring system in a smart home environment. We also examine the method’s performances on 10 benchmark datasets. As a result, the proposed method outperforms other methods on our smart appliance datasets and most of the benchmarks datasets, while it shows competitive results on the rest datasets.

Development of an energy monitoring system for large public buildings

2013 ◽  
Vol 66 ◽  
pp. 41-48 ◽  
Author(s):  
Liang Zhao ◽  
Ji-li Zhang ◽  
Ruo-bing Liang
Keyword(s):  
Monitoring System ◽  
Public Buildings ◽  
Energy Monitoring

Design of Electric Energy Monitoring System Based on MAXQ3180 Chip

2014 ◽  
Vol 521 ◽  
pp. 435-439
Author(s):  
Cheng Hao Han ◽  
Xiang Tong Wang ◽  
Hao Li ◽  
Ying Qin ◽  
Dong Yu Liu ◽  
...  
Keyword(s):  
Monitoring System ◽  
Electric Energy ◽  
Communication Mode ◽  
Energy Monitoring ◽  
Electric Parameter ◽  
Centralized Management ◽  
Electric Parameters ◽  
Intelligent Management ◽  
Spi Bus ◽  
Upper Computer

To solve the problems of bulky, high cost and difficult maintenance existing in the electric parameters monitoring system currently, a new electric energy monitoring system is designed. In the system, MAXQ3180 chip can collect the voltage, current, power factor, harmonic and other parameters of the load. Then the relevant data can be collected and sent to AT89S52 microcontroller through SPI bus to saving and manipulating. Meanwhile, to achieve the goal of decentralized control and centralized management, the system can exchange the relevant data with upper computer by CAN bus communication mode. Then the accurate measurement and intelligent management of the electric parameter can be achieved.

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