Purpose: Recent developments in wearable technologies have paved the way for continuous monitoring of the electrocardiogram (ECG) signal, without the need for any laboratory settings. A number of wearable sensors ranging from wet electrode sensors to dry sensors, textile-based sensors, knitted integrated sensors (KIS) and planar fashionable circuit boards are used in ECG measurement. The purpose of this study is to carry out a comparative study of the different sensors used for ECG measurements. The current challenges faced in developing wearable ECG sensors are also reviewed. Design/methodology/approach: This study carries out a comparative analysis of different wearable ECG sensors on the basis of four important aspects: materials and methods used to develop the sensors, working principle, implementation and performance. Each of the aspects has been reviewed with regard to the main types of wearable ECG sensors available. Findings: A comparative study of the sensors helps understand the differences in their operating principles. While some sensors may have a higher efficiency, the others might ensure more user comfort. It is important to strike the right balance between the various aspects influencing the sensor performance. Originality/value: Wearable ECG sensors have revolutionized the world of ambulatory ECG monitoring and helped in the treatment of many cardiovascular diseases. A comparative study of the available technologies will help both doctors and researchers gain an understanding of the shortcomings in the existing systems.

This research study presents a Radial Basis Function Network (RBFN) controller based threephase boost type Vienna rectifier for grid-tied wind energy conversion system. Boost type Vienna Rectifier is an AC/DC converter characterized by high power density and improved power factor in addition to maintaining a sinusoidal current with low Total Harmonic Distortion (THD) at the input side. Such converter systems find its utility and application related to unidirectional power flow such as data centers, telecommunication systems and more appropriately for wind energy conversion systems. This research involves implementation of RBFN based control strategy for Vienna Rectifier to ascertain the ability of the proposed strategy to obtain enhanced performance of Wind Energy Conversion System (WECS). The choice of RBFN for control of the rectifier system stems from its inherent capability to ensure better dynamic control notwithstanding its capability to reduce the design complexities during the network training phase. Simulation is carried out using MATLAB Simulink for a 1kW standalone and grid-tied wind energy conversion system. The research study involves carrying out detailed analysis and results for different wind velocities under standalone and grid-tied conditions.

Electricity theft is a common practice in developing countries which cannot be controlled by the governments due to lack of technology. Emerging trends such as Automatic Meter Reading (AMR) eliminate the need of person visiting each house but this advancement further increases Non-Technical losses (NTL) because of no regular inspection at the residence. However traditional meter reading by human operator is inefficient to meet the future residential development needs. This paper proposes a new system based on ARM-Cortex M3 processor to protect the energy meter from phase line bypassing, neutral line disconnection, whole meter bypassing and meter tampering. A SMS automatically send to utility server through Global System for Mobile (GSM) network when these measures detected. In this paper a novel method is proposed to solve the problem with AMR systems without affecting its major advantage of remote monitoring. Integrating this new feature into smart meters provides a robust metering solution.

This paper presents a fuzzy logic controller (FLC) based 3-φ grid-tied solar Photovoltaic aimed at grid side for change in voltage at CPI (common point of interface) by means of a DC link voltage control which is adaptive in nature. In this, boost converter with MPPT (Maximum power point tracking) procedure is used to pull out solar energy from solar PV module and feed the DC link of PV (photovoltaic) inverter. The VSC (voltage source converter) enables PV inverter to feed the power to the main grid. The proposed MPPT technique provides better dynamic performance than conventional MPPT technique under an abrupt change in voltage at CPI. The proposed FLC MPPT based solar PV system is modeled and results are validated in MATLAB/SIMULINK.

The power quality of interconnected grid is highly affected by the non linear loads and the interconnected renewable energy sources like wind and solar systems. The drastic changes in their input effectively change the grid parameters. This paper provides a novel method in which compensator continuously monitors the line parameters like voltage, currents, harmonics and reactive power to maintain the desired values at common connecting line (CCL). This paper utilizes the capabilities of hybrid Fuzzy and ZN PID Controlling of Dynamic Active Power Filter (DAPF) along with the Energy storage at dc link. The proposed model simulated in MATLAB/SIMULINK and at the grid common connecting line, the power factor and Total Harmonic Distortion values are much improved.