Distributed photovoltaic (PV) and battery energy storage (BES) generating systems are interesting to power utilities owing to their benefits in terms of technology, business, and the environment. However, improper distributed generation (DG) sizes and locations might have an impact on the technological distribution network. The aim of this study is to improve the production of grid-connected PV on the electrical three-phase poles of a low-voltage

When a line, transformer, or feeder blackout occurred in the power system, service restoration was managed to optimal radial topology to restore maximum out-of-service loads with less switch operation and return the system to a healthy operation. This paper presents a new improved sequential opening branch (ISOB) algorithm to propose a solution for service restoration in power distribution systems by considering On-Load Tap Changer (OLTC) and Cap

Rice is one of the most important crops used in the production of ready-to-cook (RTC) products such as noodles, rice vermicelli, ready-to-eat (RTE) breakfast cereals, and snacks due to its color, bland taste, and good processing properties. Extrusion is one of the most creative food processing methods that have been used for product development. This technique helps to improve the nutritional, functional, and sensory properties of the products. T

This study applied a high-pressure and high-temperature system using water as solvent, to extract the essential oil from kaffir lime peel. In this work, it aimed to determine the effect of temperature and gas such as N2 and CO2, on the yield of essential oils extracted from kaffir lime peel and volatile compounds in the extracted essential oils. The essential oils from kaffir lime peel were extracted using 300 g of sample combined with 300 ml of

In the field of wheel mobile robots, researchers focused on learning and developing new algorithms to improve robot capabilities. But the lack of the actual hardware along with expensive costs has limited the study to only simulation. Furthermore, the result from simulation alone cannot conclude the robot’s actual performance in real-time. A plug-and-play robot structure is designed and tested for its function. In addition to that, finite element

DC motor is a device that converts electrical energy into mechanical energy. Nowadays, Permanent Magnet DC (PMDC) motors are used in a variety of settings, including residences, commercial buildings, and the manufacturing industry. PMDC motors are currently being used in many applications ranging from everyday tasks to industrial tasks such as industrial machines, automobiles, and robotic applications. In this paper, we present the parameter esti

Quadcopters or quadrotors have always desired to fly smoothly and stay on their path in order to enhance their application. This better performance can be achieved depending on the accuracy of the data. However, relying purely on sensor data cannot be accepted due to the inaccuracy of measurement, thus state estimation to filter noise out is important. This paper is focused on performance evaluation on quadrotors attitude estimation using Unscent

Natural rubber is a polymeric material composed of hydrocarbon chains possessing high flexibility and green strength making them suitable for various applications including automotives tires, construction materials, and as floor protective materials etc. Special properties of rubber are obtained from compounding with various ingredients one of which is inorganic fillers including carbon black, silica, and clay minerals. The concept of processing

For Hydrological and Meteorological research over Cambodia with sparsed rainfall gauges, reliable rainfall is essential. In this study,12 gridded rainfall datasets with a reasonable spatial resolution including Asian Precipitation Highly Resolved Observational Data Integration Towards Evaluation (APHRODITE), Gridded rainfall Observational Dataset for precipitation and temperature Southeast Asia (SA-OBS), Integrated Multi-gridded rainfall Retrieva

Time series forecasting is a well-established research domain, particularly in finance and econometrics, with a multitude of methods and algorithms proposed to achieve accurate future trend predictions. This study aims to examine the effectiveness of two popular models, ARIMA and LSTM, for predicting trends in gold prices in finance and econometrics. Monthly global gold prices from January 2010 to December 2022 are analyzed, with a training set f