scholarly journals A Low Rate Energy Disaggregation using Non-Intrusive Load Monitoring

2019 ◽  
Vol 8 (11) ◽  
pp. 4204-4209
Keyword(s):  
Energy Conservation ◽  
Low Cost ◽  
Sampling Rate ◽  
Energy Usage ◽  
Energy Meter ◽  
High Sampling Rate ◽  
Energy Disaggregation ◽  
Load Monitoring ◽  
The Cost ◽  
Conservation And Management

Nowadays, Energy conservation and management are a must practice due to the exponentially increasing energy usage. One solution for providing for energy conservation is appliance load monitoring. Load monitoring approach should be simple and of low cost in order to be massively deployable. Non-Intrusive load monitoring is a better approach since it can disaggregate energy at the cost of single energy meter. A low sampling rate energy meter incurs low cost compared to a high sampling rate energy meter. In this paper a less complex, low cost energy disaggregation approach has been proposed

scholarly journals An EnKF-based method to produce rainfall maps from simulated satellite-to-ground MW-link signal attenuation

2021 ◽  
Author(s):  
Alberto Ortolani ◽  
Francesca Caparrini ◽  
Samantha Melani ◽  
Luca Baldini ◽  
Filippo Giannetti
Keyword(s):  
Sampling Rate ◽  
Filter Method ◽  
Signal Attenuation ◽  
Ancillary Data ◽  
High Sampling Rate ◽  
Temporal And Spatial Variability ◽  
Temporal And Spatial ◽  
Kalman Filter Method ◽  
The Cost ◽  
Probabilistic Nature

AbstractMeasuring rainfall is complex, due to the high temporal and spatial variability of precipitation, especially in a changing climate, but it is of great importance for all the scientific and operational disciplines dealing with rainfall effects on the environment, human activities, and economy.Microwave (MW) telecommunication links carry information on rainfall rates along their path, through signal attenuation caused by raindrops, and can become measurements of opportunity, offering inexpensive chances to augment information without deploying additional infrastructures, at the cost of some smart processing. Processing satellite telecom signals bring some specific complexities related to the effects of rainfall boundaries, melting layer, and non-weather attenuations, but with the potential to provide worldwide precipitation data with high temporal and spatial samplings. These measurements have to be processed according to the probabilistic nature of the information they carry. An EnKF-based (Ensemble Kalman Filter) method has been developed to dynamically retrieve rainfall fields in gridded domains, which manages such probabilistic information and exploits the high sampling rate of measurements. The paper presents the EnKF method with some representative tests from synthetic 3D experiments. Ancillary data are assumed as from worldwide-available operational meteorological satellites and models, for advection, initial and boundary conditions, rain height. The method reproduces rainfall structures and quantities in a correct way, and also manages possible link outages. It results computationally viable also for operational implementation and applicable to different link observation geometries and characteristics.

scholarly journals Implementation of IOT Based Smart Energy Meter in Oman

2020 ◽  
Author(s):  
Hassan Ali Alajmi ◽  
Raid Rashid Ali Alsaidi ◽  
Omar Abdullah Sultan AL-shibli ◽  
Senthil Ramadoss
Keyword(s):  
Monitoring System ◽  
Web Application ◽  
Low Cost ◽  
Electricity Consumption ◽  
Raspberry Pi ◽  
Energy Meter ◽  
Exciting Opportunity ◽  
Long Time ◽  
The Cost ◽  
Python Programming

Managing the energy efficient and conserving it intelligently for appliances is very much important. On the other side, it may be possible events mistake cause while reading on energy meter, monitoring and keeping track of your electricity consumption for verification is a tedious task today. Our main objective of measuring the power consumption at homes using IOT with raspberry pi during period time, which can be controlled as well monitored through the raspberry pi across the IOT. We used Python programming language to control raspberry pi. It's based on raspbian which is operating system for all models of the raspberry Pi that subject to linux system. As we say before raspberry pi has inputs and we use it for connecting the supply, energy meter and load such as a lamp or Drill. The energy meter is connected to the raspberry pi. This allows user to easily check the energy usage along with the cost charged online using a simple web application connecting to Wi-Fi. Thus, the energy meter monitoring system allows consumer to effectively monitor electricity meter readings and bill amount in an easy way. It presents a low cost and flexible energy meter monitoring system using IOT. In addition, we use camera which is called camera pi. Camera pi takes picture from meter reading and communicates to consumer via email. All information on the energy meter screen will be taken by raspberry pi module. Using this data, the raspberry pi will calculate the bill amount then send to the consumer by email. Finally, this project will help for the proper and accurate reading of the billing process automatically. Also, it enables consumer to save the money for a long time. This technology offers new and exciting opportunity to reduce the work of workers.

scholarly journals Subtask Gated Networks for Non-Intrusive Load Monitoring

2019 ◽  
Vol 33 ◽  
pp. 1150-1157 ◽  
Author(s):  
Changho Shin ◽  
Sunghwan Joo ◽  
Jaeryun Yim ◽  
Hyoseop Lee ◽  
Taesup Moon ◽  
...  
Keyword(s):  
Electricity Consumption ◽  
Seminal Paper ◽  
Performance Improvements ◽  
Energy Disaggregation ◽  
Load Monitoring ◽  
Significant Performance ◽  
Standby Power ◽  
Measurement Devices ◽  
Classification Probability ◽  
The Cost

Non-intrusive load monitoring (NILM), also known as energy disaggregation, is a blind source separation problem where a household’s aggregate electricity consumption is broken down into electricity usages of individual appliances. In this way, the cost and trouble of installing many measurement devices over numerous household appliances can be avoided, and only one device needs to be installed. The problem has been well-known since Hart’s seminal paper in 1992, and recently significant performance improvements have been achieved by adopting deep networks. In this work, we focus on the idea that appliances have on/off states, and develop a deep network for further performance improvements. Specifically, we propose a subtask gated network that combines the main regression network with an on/off classification subtask network. Unlike typical multitask learning algorithms where multiple tasks simply share the network parameters to take advantage of the relevance among tasks, the subtask gated network multiply the main network’s regression output with the subtask’s classification probability. When standby-power is additionally learned, the proposed solution surpasses the state-of-the-art performance for most of the benchmark cases. The subtask gated network can be very effective for any problem that inherently has on/off states.

scholarly journals Evaluation of Features Generated by a High-End Low-Cost Electrical Smart Meter

Algorithms ◽  
2021 ◽  
Vol 14 (11) ◽  
pp. 311
Author(s):  
Christina Koutroumpina ◽  
Spyros Sioutas ◽  
Stelios Koutroubinas ◽  
Kostas Tsichlas
Keyword(s):  
Low Cost ◽  
Sampling Rate ◽  
Classification Performance ◽  
General Purpose ◽  
Supervised Machine Learning ◽  
Smart Meter ◽  
Decision Tree Classifier ◽  
Household Level ◽  
Tree Classifier ◽  
Energy Disaggregation

The problem of energy disaggregation is the separation of an aggregate energy signal into the consumption of individual appliances in a household. This is useful, since the goal of energy efficiency at the household level can be achieved through energy-saving policies towards changing the behavior of the consumers. This requires as a prerequisite to be able to measure the energy consumption at the appliance level. The purpose of this study is to present some initial results towards this goal by making heavy use of the characteristics of a particular din-rail meter, which is provided by Meazon S.A. Our thinking is that meter-specific energy disaggregation solutions may yield better results than general-purpose methods, especially for sophisticated meters. This meter has a 50 Hz sampling rate over 3 different lines and provides a rather rich set of measurements with respect to the extracted features. In this paper we aim at evaluating the set of features generated by the smart meter. To this end, we use well-known supervised machine learning models and test their effectiveness on certain appliances when selecting specific subsets of features. Three algorithms are used for this purpose: the Decision Tree Classifier, the Random Forest Classifier, and the Multilayer Perceptron Classifier. Our experimental study shows that by using a specific set of features one can enhance the classification performance of these algorithms.

A Linear-Encoder-Based Displacement Sensing Approach for Cost-Sensitive Applications

2010 ◽  
Vol 44-47 ◽  
pp. 1095-1098
Author(s):  
Qi Peng Li ◽  
Ping Fang
Keyword(s):  
Low Cost ◽  
Sampling Rate ◽  
Test System ◽  
Time Sequence ◽  
Electromagnetic Actuator ◽  
High Sampling Rate ◽  
Linear Encoder ◽  
Signal Processing Circuit ◽  
Sequence Generator ◽  
Processing Circuit

A new low-cost displacement sensing approach is put forward. It employs physical multiplication by using multiple linear encoders and differential grating codestrips, and the differential phase configuration is mechanically guaranteed; furthermore, a flash signal processing circuit comprising time sequence generator, counter and D/A with no microprocessors involved is also developed. Theoretical analysis is presented, and a test system using Heds-9730 as the detecting unit is built, and then experiments on an electromagnetic actuator are carried out. The measured results agreed well with the original, and the results prove that the sensing approach can achieve high sampling rate, high resolution and cost saving, thus providing an effective displacement measuring means for cost-sensitive applications.

scholarly journals Home Energy Conservation, Monitoring and Corrective Techniques

2019 ◽  
Vol 8 (9S3) ◽  
pp. 638-640
Keyword(s):  
Energy Conservation ◽  
Energy Usage ◽  
Energy Meter ◽  
Before And After ◽  
Better Than

Energy conservation ensures that understanding the resources in the home, identifying the energy and waste of energy in the unwanted manner. More energy consumable products are identified and they are replaced with a less energy consumable products. The energy meter pattern also taken before and after the implementation of the corrective techniques. Always energy conservation is better than energy produced by the Generation. The optimal use of the equipments in the home has to be identified, analysed and implemented. To minimize the energy usage not only helps to conserve energy but also it helps to reduce the amount

scholarly journals A Novel Scheduled Power Management using Iot Controlled Energy Meter

2019 ◽  
Vol 9 (2) ◽  
pp. 3565-3567
Keyword(s):  
Energy Consumption ◽  
Internet Of Things ◽  
Power Management ◽  
Low Cost ◽  
Normal Function ◽  
The Internet ◽  
Prototype Model ◽  
Energy Usage ◽  
Energy Meter ◽  
The Internet Of Things

In this proposed system, scheduled power management is to reduce the excess use of energy and to reduce the energy tariff of the domestic consumers. The price differs, if one unit exceeds the value fixed by tariff 1a plan. For domestic customers, scheduling of energy is done by using energy meter which is controlled by IOT and Arduinos. If the consumer uses excess of scheduled energy the user gets an SMS and the circuit will be tripped automatically, in case if there is necessity for more energy, we switch to normal function from the scheduled function which can be maintained by IoT. The consumer can check the energy consumption in webpage. The internet of things paradigm has been proposed in order to check the energy consumption and also for automation purposes like tripping the circuits when energy usage is increased. A very low cost, advanced embedded hardware has been used to make the prototype model.

scholarly journals ANALYSIS OF UWB BASED ANTENNA FOR WIRELESS COMMUNICATION

2020 ◽  
Vol 5 (2) ◽  
pp. 30-34
Author(s):  
Shetty Sagar ◽  
Hajare Rohit ◽  
Kriti Gupta ◽  
Bhagat Namrata
Keyword(s):  
Wireless Communication ◽  
Low Cost ◽  
Sampling Rate ◽  
Ultra Wideband ◽  
Receiver Design ◽  
Analog To Digital ◽  
Position Sensing ◽  
High Sampling Rate ◽  
Low Profile ◽  
Communication Devices

Ultra-wideband wireless communications techniques have many merits, including an extremely simple radio that inherently leads to low-cost design, large processing gain for robust operations in the presence of narrowband interference, covert operations, and fine time resolution for accurate position sensing. However, there are a number of challenges in UWB receiver design, such as capturing multipath energy, inter symbol interference especially in a non-line-of-sight environment, and the need for high-sampling-rate analog-to-digital converters. Microstrip Patch antenna (MPA) provides low profile and low volume, so it is use in a now a days communication devices. In this paper study of past few year shows that most of labour on MPA is targeted on planning compact sized microstrip antenna. A novel ultra-wideband printed monopole antenna can be used in wireless communication devices.

Towards Low-Cost Energy Monitoring

2015 ◽  
pp. 2965-2970
Author(s):  
Aqeel H. Kazmi ◽  
Michael J. O'Grady ◽  
Gregory M.P. O' Hare
Keyword(s):  
Energy Demand ◽  
Low Cost ◽  
Cost Effective ◽  
Future Research ◽  
Energy Prices ◽  
Energy Usage ◽  
Energy Monitoring ◽  
Load Monitoring ◽  
Future Research Directions ◽  
Residential And Commercial Sectors

A number of energy problems including limited energy resources, increased energy demand, and rising energy prices, have motivated energy conservation in the residential and commercial sectors. Access to real-time energy usage information is perceived as a prerequisite for energy usage reductions. A variety of computational approaches have been proposed to monitor energy usage within buildings. Currently, Non-intrusive Load Monitoring (NILM) is perceived as the most cost-effective and scalable solution. In this article, a technological profile of this technique is constructed through the provision of key background developments, revision of existing solutions, consideration of outstanding problems, and identification of some pertinent future research directions.

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