scholarly journals Evaluation of a LoRa Mesh Network for Smart Metering in Rural Locations

Electronics ◽  
2021 ◽  
Vol 10 (6) ◽  
pp. 751
Author(s):  
Anup Marahatta ◽  
Yaju Rajbhandari ◽  
Ashish Shrestha ◽  
Ajay Singh ◽  
Anup Thapa ◽  
...  
Keyword(s):  
Smart Grids ◽  
Cost Effective ◽  
Energy System ◽  
Mesh Network ◽  
Smart Metering ◽  
Monitoring And Control ◽  
Smart Meters ◽  
Load Monitoring ◽  
Iot Devices ◽  
And Control

Accompanying the advancement on the Internet of Things (IoT), the concept of remote monitoring and control using IoT devices is becoming popular. Digital smart meters hold many advantages over traditional analog meters, and smart metering is one of application of IoT technology. It supports the conventional power system in adopting modern concepts like smart grids, block-chains, automation, etc. due to their remote load monitoring and control capabilities. However, in many applications, the traditional analog meters still are preferred over digital smart meters due to the high deployment and operating costs, and the unreliability of the smart meters. The primary reasons behind these issues are a lack of a reliable and affordable communication system, which can be addressed by the deployment of a dedicated network formed with a Low Power Wide Area (LPWA) platform like wireless radio standards (i.e., LoRa devices). This paper discusses LoRa technology and its implementation to solve the problems associated with smart metering, especially considering the rural energy system. A simulation-based study has been done to analyse the LoRa technology’s applicability in different architecture for smart metering purposes and to identify a cost-effective and reliable way to implement smart metering, especially in a rural microgrid (MG).

scholarly journals Efficient Design of Energy Disaggregation Model with BERT-NILM Trained by AdaX Optimization Method for Smart Grid

Energies ◽  
2021 ◽  
Vol 14 (15) ◽  
pp. 4649
Author(s):  
İsmail Hakkı ÇAVDAR ◽  
Vahit FERYAD
Keyword(s):  
Smart Grids ◽  
Energy Demand ◽  
Optimization Technique ◽  
Cost Effective ◽  
Optimization Method ◽  
Long Term Memory ◽  
Successful Implementation ◽  
Efficient Design ◽  
Energy Disaggregation ◽  
Load Monitoring

One of the basic conditions for the successful implementation of energy demand-side management (EDM) in smart grids is the monitoring of different loads with an electrical load monitoring system. Energy and sustainability concerns present a multitude of issues that can be addressed using approaches of data mining and machine learning. However, resolving such problems due to the lack of publicly available datasets is cumbersome. In this study, we first designed an efficient energy disaggregation (ED) model and evaluated it on the basis of publicly available benchmark data from the Residential Energy Disaggregation Dataset (REDD), and then we aimed to advance ED research in smart grids using the Turkey Electrical Appliances Dataset (TEAD) containing household electricity usage data. In addition, the TEAD was evaluated using the proposed ED model tested with benchmark REDD data. The Internet of things (IoT) architecture with sensors and Node-Red software installations were established to collect data in the research. In the context of smart metering, a nonintrusive load monitoring (NILM) model was designed to classify household appliances according to TEAD data. A highly accurate supervised ED is introduced, which was designed to raise awareness to customers and generate feedback by demand without the need for smart sensors. It is also cost-effective, maintainable, and easy to install, it does not require much space, and it can be trained to monitor multiple devices. We propose an efficient BERT-NILM tuned by new adaptive gradient descent with exponential long-term memory (Adax), using a deep learning (DL) architecture based on bidirectional encoder representations from transformers (BERT). In this paper, an improved training function was designed specifically for tuning of NILM neural networks. We adapted the Adax optimization technique to the ED field and learned the sequence-to-sequence patterns. With the updated training function, BERT-NILM outperformed state-of-the-art adaptive moment estimation (Adam) optimization across various metrics on REDD datasets; lastly, we evaluated the TEAD dataset using BERT-NILM training.

scholarly journals Multi-Blockchain-Based IoT Data Processing Techniques to Ensure the Integrity of IoT Data in AIoT Edge Computing Environments

Sensors ◽  
2021 ◽  
Vol 21 (10) ◽  
pp. 3515
Author(s):  
Sung-Ho Sim ◽  
Yoon-Su Jeong
Keyword(s):  
Low Cost ◽  
Third Party ◽  
Monitoring And Control ◽  
Constant Size ◽  
Computing Environments ◽  
Iot Devices ◽  
Cloud Servers ◽  
The Cost ◽  
Processing Techniques ◽  
And Control

As the development of IoT technologies has progressed rapidly recently, most IoT data are focused on monitoring and control to process IoT data, but the cost of collecting and linking various IoT data increases, requiring the ability to proactively integrate and analyze collected IoT data so that cloud servers (data centers) can process smartly. In this paper, we propose a blockchain-based IoT big data integrity verification technique to ensure the safety of the Third Party Auditor (TPA), which has a role in auditing the integrity of AIoT data. The proposed technique aims to minimize IoT information loss by multiple blockchain groupings of information and signature keys from IoT devices. The proposed technique allows IoT information to be effectively guaranteed the integrity of AIoT data by linking hash values designated as arbitrary, constant-size blocks with previous blocks in hierarchical chains. The proposed technique performs synchronization using location information between the central server and IoT devices to manage the cost of the integrity of IoT information at low cost. In order to easily control a large number of locations of IoT devices, we perform cross-distributed and blockchain linkage processing under constant rules to improve the load and throughput generated by IoT devices.

Deploying wireless sensor networks-based smart grid for smart meters monitoring and control

2018 ◽  
Vol 31 (10) ◽  
pp. e3557 ◽  
Author(s):  
Renato William R. de Souza ◽  
Leonardo R. Moreira ◽  
Joel J. P. C. Rodrigues ◽  
Rafael R. Moreira ◽  
Victor Hugo C. de Albuquerque
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Smart Grid ◽  
Wireless Sensor ◽  
Monitoring And Control ◽  
Smart Meters ◽  
And Control

Approach to Nav Aids System on Islands

2021 ◽  
Author(s):  
Khalil Ibrahim Alblooshi ◽  
Kamaljit Singh ◽  
Raju Paul ◽  
Faris Ragheb Kamal
Keyword(s):  
International Association ◽  
Renewable Energy Sources ◽  
Cost Effective ◽  
Storm Events ◽  
Effective Solution ◽  
Monitoring And Control ◽  
Monitoring And Control System ◽  
Navigational Aids ◽  
Maintenance Requirements ◽  
And Control

Abstract Offshore business is gradually moving from traditional Well Head Platforms to the concept of Artificial Drill Islands and use of renewable energy sources. Navigational Aids design for artificial drilling islands has unique challenges due to vast periphery. This paper highlights all such challenges along with recommendations for a reliable and cost effective solution. Clients as well as FEED/EPC Contractors can benefit from the experience shared in this paper. The trend over the last decade has been to develop Navigation Aids that minimize maintenance requirements whilst maintaining stable and satisfactory performance. Although, Navigation Aids are automated there is still a need for regular visual inspections as there is always the risk of vandalism, ship impact or damage during significant storm events. Navigational Aids System shall be in strict compliance with International Association of Lighthouse Authorities (IALA) Guidelines. In addition to usual Visual & Audible Navigations Aids, artificial islands require break water lanterns (both red & green type). Also, number of Navigational Aids is much more than those required for a typical offshore platform. Requirement of interfaces with remote ends need to be clearly defined as these have impact on the design and ultimate cost. GSM monitoring and control system, GPS synchronization & AIS remote monitoring shall be considered. Cabling over the Island periphery is neither reliable nor cost effective solution. Standalone solar power based Navigational Aids Skids with all control and monitoring facilities can be more suitable solution. Considering that Island Contractor provides few Navigational Aids before the mobilization of EPC Contractor, it is essential to coordinate the Navigational Aids design aspects to ensure synergy in terms of compatibility.

PLC for monitoring and control of distributed generators in smart grids

2018 ◽  
pp. 325-347
Author(s):  
Anton Poluektov ◽  
Antti Pinomaa ◽  
Antti Kosonen ◽  
Aleksei Romanenko ◽  
Jero Ahola
Keyword(s):  
Smart Grids ◽  
Monitoring And Control ◽  
Distributed Generators ◽  
And Control

scholarly journals A Cost-Effective Embedded Platform for Greenhouse Environment Control and Remote Monitoring

Agronomy ◽  
2020 ◽  
Vol 10 (7) ◽  
pp. 936 ◽  
Author(s):  
Radu L. Sumalan ◽  
Nicoleta Stroia ◽  
Daniel Moga ◽  
Vlad Muresan ◽  
Alexandru Lodin ◽  
...  
Keyword(s):  
Remote Monitoring ◽  
Low Cost ◽  
Cost Effective ◽  
Agricultural System ◽  
Control Network ◽  
Monitoring And Control ◽  
Embedded Platform ◽  
Environment Control ◽  
Functional Features ◽  
And Control

This paper presents the development of a cost-effective automatic system for greenhouse environment control. The architectural and functional features were analyzed in the context of the realization of a controlled-environment agricultural system through all its stages: installation, deployment of the software, integration, maintenance, crop control strategy setup and daily operation of the grower. The proposed embedded platform provides remote monitoring and control of the greenhouse environment and is implemented as a distributed sensing and control network integrating wired and wireless nodes. All nodes were built with low-cost, low-power microcontrollers. The key issues that were addressed include the energy-efficient control, the robustness of the distributed control network to faults and a low-cost hardware implementation. The translation of the supervisory growth-planning information to the operational (control network) level is achieved through a specific architecture residing on a crop planning module (CPM) and an interfacing block (IB). A suite of software applications with flows and interfaces developed from a grower-centric perspective was designed and implemented on a multi-tier architecture. The operation of the platform was validated through implementation of sensing and control nodes, application of software for configuration and visualization, and deployment in typical greenhouses.

scholarly journals Multi-Pattern Data Mining and Recognition of Primary Electric Appliances from Single Non-Intrusive Load Monitoring Data

Energies ◽  
2019 ◽  
Vol 12 (6) ◽  
pp. 992 ◽  
Author(s):  
Shengli Du ◽  
Mingchao Li ◽  
Shuai Han ◽  
Jonathan Shi ◽  
Heng Li
Keyword(s):  
Clustering Algorithm ◽  
Belief Propagation ◽  
Graph Model ◽  
Electric Power Industry ◽  
Factor Graph ◽  
Monitoring And Control ◽  
Factor Graph Model ◽  
Load Monitoring ◽  
Actual Energy Consumption ◽  
And Control

The electric power industry is an essential part of the energy industry as it strengthens the monitoring and control management of household electricity for the construction of an economic power system. In this paper, a non-intrusive affinity propagation (AP) clustering algorithm is improved according to the factor graph model and the belief propagation theory. The energy data of non-intrusive monitoring consists of the actual energy consumption data of each electronic appliance. The experimental results show that this improved algorithm identifies the basic and combined class of home appliances. According to the possibility of conversion between different classes, the combination of classes is broken down into different basic classes. This method provides the basis for power management companies to allocate electricity scientifically and rationally.

THE MARITIME ADMINISTRATION PROGRAM FOR THE PREVENTION AND CONTROL OF OIL POLLUTION FROM VESSELS

1975 ◽  
Vol 1975 (1) ◽  
pp. 177-185 ◽  
Author(s):  
George C. Steinman ◽  
ChappelWalter B.
Keyword(s):  
Oil Pollution ◽  
Marine Pollution ◽  
Pollution Abatement ◽  
Cost Effective ◽  
Monitoring And Control ◽  
Monitoring And Control Systems ◽  
Oily Water ◽  
Discharge Monitoring ◽  
Oily Waste ◽  
And Control

ABSTRACT This paper provides an overview of the Maritime Administration (MarAd) program to abate and control oil pollution from ships. The main thrust of the program is in the prevention of oil pollution through cost effective measures which would maintain the competitive position of the U.S. merchant fleet. The paper discusses such pollution abatement features as oil discharge monitoring and control systems, oily water separators, oily waste slop tanks, collision avoidance radar, and inert gas systems that are required to be installed on vessels that receive government financial assistance in the form of construction differential subsidy. In addition, the paper addresses the environmental and economic impact of the 1973 International Marine Pollution Convention on the Maritime Administration Tanker Construction Program, particularly as it relates to the IMCO segregated ballast requirements, improved Load-on-Top (LOT) procedures, and port reception facilities. Finally, recommendations for future action to abate ship-generated pollution at the national and international levels are provided.

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