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Photovoltaic (PV) systems are extensive as an alternative energy resource in the public and private sectors. Despite having an electric supply from the conventional fossil fuel generator, PV systems provide more economical solutions. However, the implementation of PV systems without maintenances contributes to energy wastage and increases the cost compared to on-grid supply. Improper maintenances with an aged system will minimize the performance, decrease the lifetime and possibility of defect of the system. An intelligent monitoring system is the best solution to keep track of a photovoltaic system's performance to ensure the system to maintain at optimum condition. The aim of this project is to study the factors that affect the photovoltaic's energy harvesting and develop a PV performance monitoring system with the implementation of Internet of Things (IoT). The proposed PV energy performance monitoring system allowed users to wirelessly monitor the PV performance parameter by using Blynk application through the smartphone. A prototype was design and built with ESP32 development board, DHT22, Current sensor and Voltage sensor which then applied to the actual PV system consisting of a 20W PV panel,12V battery, charge controller and LED lamp as the load. The collected data was plotted in graphs for a better analysis. The data collected shows that the efficiency of the PV panel can be affected by shading and temperature. In day 3, the strong emitted sun from morning gave the average voltage and current of 13.1V and 0.33A compared to day 1, which was cloudy all day, giving the average voltage and current of 12.8V and 0.17A, respectively. The efficiency of PV panel depends on the value of voltage and current since both values was affected by the temperature and shading from cloud. The proposed PV monitoring system is developed based on the implementation of IoT technology, where it can contribute to sustainable development for better energy saving compared to conventional PV systems that installed in the market [ABSTRACT FROM AUTHOR]

Power quality monitoring has an increasing role in the deregulated electricity supply market. Industrial and commercial customers are increasingly getting affected by poor power quality problems. A web based, near real time power quality monitoring system is necessary to provide such information, both locally and on Nationwide basis to customers. This paper aims to dive into the development of a web-based power quality monitoring system for commercial building. The power quality web-based system implemented using Representational State Transfer Application Programming Interface (RESTful API) method as a web application. It also coordinates with a K-Nearest Neighbours machine learning model for classifying the power quality. In this project, the machine learning model managed to achieve an accuracy of 0.8125 over 1 which defines a good performance of the algorithm [ABSTRACT FROM AUTHOR]

Road accidents rate are now very high, especially for two-wheeled vehicle. It is necessary to have a sort of road accident detection and information system to rescue the injured victims. This research aims to create a prototype of an ABCDs that is implemented at a bicycle. The main target is to minimize the accident's response time whenever accident occurs. The accident detection uses the ESP8266 Node MCU, smartphones, GSM and GPS technology, AXL 335 accelerometer and Blynk for mobile applications. The input is an accelerometer that detects the shock and Node MCU will send the location via Email or mobile phone. The GPS receiver module detects geographical coordinates of the area and signal message will be sent through GSM. To validate the prototype, three separated tests were conducted andthe test was performed for various type of open area, closed area, with different fixed value test as well. Testing data shows that the prototype successfully detected crash or accident and notification was successfully delivered through Blynk. Inevitably, this project help in providing assistance for the accident victims in emergency situations within short period of time. Indeed, with a proper setup and adjustment, this prototype benefits riders in helping everyone's helps lives because life was a blessing for everybody, [ABSTRACT FROM AUTHOR]

This project deals with the performance analysis of the Proportional Integral (PI) and Proportional Integral Derivative (PID) controller for an Induction Machine double squirrel cage drive system for speed control in closed-loop operation. Both controllers are designed to track the variations of speed references with constant load and load disturbance to stabilize the output. The comparison of the PI and PID has been shown in the result obtained from the experiment. The effectiveness of the proposed method controller is verified by developing a simulation model in the TYPHOON HIL software tool. The results for the behaviour of the Induction Machine in terms of torque, speed, voltage, and frequency have been carried out. [ABSTRACT FROM AUTHOR]