bluuebunny/crossref_metadata_2025_split huggingface dataset:
Analysis and Research on Lightning Inrush Wave Overvoltage in EHV GIS Substation transformation project
Authors: Feng Ruming , Zhao Lei , Che Chuanqiang , Wang Qiong , Tianyu  , Zhao Jun , Wang Lei 
Published: May 2023

Abstract
When lightning intrudes into the over-voltage in the 500 kV substation, the lightning wave will be introduced into the substation along the line, which will seriously affect the insulation level of the equipment. In this paper, firstly, the working principle, characteristics, and lightning current simulation of the ZnO arrester are described. Then, the electromagnetic transient program (EMTP-ATP) used in a 500 kV GIS substation carried out the simulation research to the lightning over-voltage, specifically studied the lightning protection effect of metal oxide arrester, compared the lightning over-voltage under the different lightning locations and operation mode, and calculated the 500kV GIS Substation under the single in single out operation mode, 500kV. The influence of different positions of lightning arresters in GIS on the magnitude of lightning over-voltage and the lightning over-voltage on the substation equipment in GIS is also described.
Transmission Line Audible Noise Prediction Based on CNN-BiLSTM-Attention Method
Authors: Huang Yuehua , Zhang Zihao , Chen Qing , Zhang Lei , Zhang Jiangong , Lan Xinsheng 
Published: May 2023

Abstract
High-voltage transmission lines’ audible noise parameters are impacted by a variety of multidimensional elements. in order to better the accuracy of audible noise prediction and effectively utilize the time-series properties in the observed audible noise data. In this paper, we propose a combined model of a convolutional neural network (CNN) and a bidirectional long and short-term memory network (BiLSTM)-based attention mechanism based on feature filtering for transmission line audible noise prediction. Firstly, using the transmission line real-world audible noise data as the dataset, the multidimensional factor time series parameters are optimally filtered, and high correlation feature vectors are extracted by using CNN. Secondly, the extracted feature vectors are fed into the BiLSTM for training and prediction, and the prediction performance is further improved by introducing an attention mechanism at the BiLSTM end so that the model focuses on learning more important data features. Finally, the prediction analysis using actual recorded audible noise data from a 500 kV AC transmission line in Sichuan Province demonstrates that the combined CNN-BiLSTM-Attention model suggested in this paper has a higher prediction accuracy than the BiLSTM, CNN-BiLSTM, and BiLSTM-Attention models.
Design and Test of Control System of RF Ion Source Test Platform Based on Industrial PLC
Authors: Duan Lian , Liu Zhimin , Li Yibin , Song Shihua 
Published: May 2023

Abstract
Combined with the experimental operation requirements of the radio frequency ion source test platform, a set of the control system is designed with S7-1200 series PLC which is based on TIA Portal and WinCC configuration software. It realizes the monitoring and management of the RF ion source performance test experiment. In order to visualize the operation of the test platform, a fully graphical monitoring interface is designed. And the system has functions such as timing control, real-time status monitoring, parameter setting, data acquisition and recording, historical data query, and alarm recording. After experimental testing, the system meets the control requirements of the ion source performance testing platform and is of great significance for the fault diagnosis and safe operation of the test platform system.
Electric-Gas Integrated Energy Dispatch Based on Multi-ob jective Gray Wolf Algorithm
Authors: Tang Guosheng , Zhao Bingyan 
Published: May 2023

Abstract
With the development of the energy Internet, the integrated energy network of electricity-gas interconnection has become an important research object of energy optimization. To improve the energy absorption capacity and energy utilization efficiency of renewable energy in a regional integrated energy network, a comprehensive energy multi-objective optimization model containing the power to gas (P2G) is proposed in this paper. The model considers the two objectives of pollutant emission and system operating cost, and the model is solved by the Multi-objective Grey Wolf Optimizer (MOGWO). The example shows that a P2G device can improve energy efficiency
Research on the distribution mechanism of fault alarm information for power grid fault diagnosis
Authors: Zhang Ziqi , Du Mingxuan , Wang Zirui , Zhang Xu 
Published: May 2023

Abstract
Power grid fault diagnosis aims to locate faulty components quickly and accurately. The alarm information generated by the SCADA system of the grid is the data basis for power grid fault diagnosis. The existing research lacks mechanical analysis of the alarm information, so the models and algorithms are difficult to be used in engineering applications. The established power grid fault diagnosis models are somewhat different from the actual grid, and the alarm information timing characteristics are difficult to express. In this paper, we analyze the correlation and characteristics of the data related to the number of voltages, number of stations, and duration of faults for each period, and analyze the spatial and temporal distribution mechanism of the alarm messages in conjunction with the characteristics of the equipment that issued the alarm messages during the fault events. It also compares the differences in the distribution patterns of the alarm information when the data sources are different. The research can lay the foundation for establishing fault diagnosis models and provide theoretical support for model design and algorithm research.
Research on the Balance Control Method of Instantaneous Power for the Converter in D-PMSG
Authors: Feng Ruming , A Minfu , Gao Chen , Yan Xu , Liu Taowei , Yang Zaixin , Zhang Wei 
Published: May 2023

Abstract
This paper establishes a numerical model of wind power generation system. The low voltage ride-through characteristics of direct-driven wind turbines in case of grid failure are studied. By comparing the measured data with the numerical data, the correctness, validity and the numerical simulation results for the grid-connected operation of the direct-drive wind turbine generator set proposed in this paper are verified.
A Temperature Control Method of Electric Heating Furnace Based on Fuzzy PID
Authors: Hu Dawei , Liu Hengyu , Zhu Yidong , Li Qingxin , Wang Jun , Zhang Zhongrui , Sun Jiazheng , Yang Luyu , Zhang Zhe , Yuan Jingwei 
Published: May 2023

Abstract
The traditional PID control method has a series of problems such as overshoot or static error. This paper takes the electric heating furnace temperature control system as the background, combines the fuzzy algorithm to design the fuzzy PID system, and uses the MATLAB fuzzy control box to set up the fuzzy reasoning system and the fuzzy rule table., and use the Simulink platform to build the temperature control system simulation model of ordinary PID and fuzzy PID, and verify the influence of parameters on the system.
Preliminary study of topside ionospheric variations using SWARM satellites over the Malaysia Region
Authors: Bahari S A , Husin S R S , Abdullah M , Ghamry E 
Published: May 2023

Abstract
The European Space Agency (ESA) launched a satellite constellation mission called Swarm in 2013. The Swarm satellites named A, B and C are equipped with Global Positioning System (GPS) receivers which can be used to study the topside of the ionosphere. In Malaysia, the use of ionospheric data from the Swarm satellites is still new as most researchers previously used GPS receivers on the Earth. This paper presents the preliminary result of topside-ionosphere parameter, Total Electron Content (TEC) over Malaysia using the Swarm satellite data. TEC from the Swarm data were analyzed during quiet and disturbed geomagnetic days. The results showed that the Swarm satellites passed through Malaysia twice in 24 hours and the variations of TEC over Malaysia ranged from 2 to 20 TECU. Analysis of the topside ionosphere during a geomagnetic storm showed a sudden decreased of TEC compared to the quiet days. The findings indicate that the variations of topside TEC using Swarm are in agreement with those found in previous studies.
The comparison of indoor and outdoor pyranometer calibration method in Jakarta
Authors: Saputro R D , Handoko D , Hidayah Q A , Nugraha H A , Sail A , Lukito I S 
Published: May 2023

Abstract
The increasing energy crisis motivated people to develop renewable energy, one of the promising renewable energies is solar energy. Considering that Indonesia has the potential for sunlight throughout the year, this country should be able to take full advantage of this solar radiation energy. To discover potential area in Indonesia, good and calibrated equipment are needed such as pyranometer, pyrheliometer etc. The objective of this study is to compare developed method of outdoor and indoor pyranometer calibration responsivity. There are 4 pyranometer calibration methods, one of them is called Continuous Sun and Shade Method (CoSSM). However, this method has never been carried out before, so it is going to be developed by the Agency for Meteorology, Climatology, and Geophysics (BMKG) Indonesia. The CoSSM method utilizes two standard components consist of direct and diffuse irradiance to obtain new responsivity values from calibrated global radiation sensor or so called Unit Under Test (UUT). This experiment used 4 UUT and carried out for 12 days. The new responsivity values then compared with the responsivity value that had been obtained from BMKG indoor calibration accredited by National Accreditation Committee (KAN). The results obtained from calibration process provided the highest percentage difference of 6.2% and the smallest 0.2%. This shows that outdoor calibration in cloudy and polluted conditions in Jakarta still give quite good result.
Distance pattern and spacing of the multiplanet systems in TESS data
Authors: Geraldo L D , Bautista R A B 
Published: May 2023

Abstract
Titius-Bode’s Law is a well-known formulation that describes the distances of the planets in the Solar System. It had a significant role in the discovery of dwarf planet Ceres. Since then, there are studies that attempted to apply it in other planetary systems using the original or modified form of the Law. This is done to examine their distances and possibly find another planet. However, those studies were few and the growing number of discovered planets and planetary systems continues due to the different missions. In this paper, we focused on the planetary systems mainly discovered by the Transiting Exoplanet Survey Satellite (TESS) and we tried to use exponential regression to determine the equations that will express the best fit for the distance pattern of the planets. We only included planetary systems with at least 2 planets. In addition, we explored the trends in the distances or spacing of the planets using ANOVA. Overall, we were able to get the necessary equations and there is a high value of R2 that indicates a good fit. The distances and spacing of the planets in each planetary system, there is no significant difference which indicates that planets have close spacings.
A study of the effect of open biomass burning aerosol on rainfall event over Malaysia by using EOF analysis
Authors: Chen Y , Chan A , Yenn T F , Ooi C. G. , Li L 
Published: May 2023

Abstract
Significant biomass burning aerosols resulted from biomass burning activities from Sumatra and Kalimantan Island transported to Malaysia every year from August to October by the southeast monsoon. These transboundary haze changes the precipitation pattern by aerosol interaction with radiation and cloud which affects the solar radiation budget and cloud condensation nuclei properties. In this work, empirical orthogonal function (EOF) was used to assess the effect of biomass burning aerosol on rainfall pattern over Malaysia from both a spatial and a temporal perspective. Over Peninsular Malaysia, regional rainfall activities tend to be suppressed by concentrated biomass burning aerosols and produce another heavy rain over the downwind areas after 30-60 days (60 days) under highly (less) populated condition. Similar precipitation pattern has been indicated over Sarawak and Sabah where biomass burning aerosols suppress rainfall in the southwestern area while leads to a more intensified rainfall event in the northeast area with 30-60 days (60 days) interval under highly (less) populated condition.
Analysis of trends in extreme temperature indices over selected areas in Peninsular Malaysia from 1991-2020
Authors: Rosli M A M , Ash’aari Z H 
Published: May 2023

Abstract
This study investigates the temporal variations of extreme temperature trends across three stations in Peninsular Malaysia with different settings, Petaling Jaya represents urban station, while Kluang and Batu Embun represent rural areas from 1991-2020. Eleven extreme warm and cold indices trends were analysed using the Mann-Kendall test, with Sen’s slope as a magnitude estimator. The findings revealed that the annual daily mean temperature, daily mean maximum temperature, and daily mean minimum temperature increased significantly at all stations by 0.04°C yr–1, 0.02°C yr–1, and 0.05°C yr–1, respectively. The station in the rural area shows a significant increment of an average of 0.03°C yr–1 for mean and warm extreme indices. Despite that, there were no changes in the total number of warm days and nights and cold days and nights for all settings. For the cold temperature indices, there were significant decreasing trends for the annual minimum of maximum temperature in rural areas, while urban station did not exhibit changes. All stations also exhibit similar annual patterns when compared although significantly higher readings were observed during El Niño events.
Methanogenic archaea community in relation to methane production in oil palm planted on tropical peatland
Authors: Ayob Z , Kusai N A , Jantan N M , Murdi A A , Law M C , Khairuddin N S K , Idris A S 
Published: May 2023

Abstract
Understanding the microbial processes that regulate methane emissions in the tropical peatlands can facilitate their future management. However, the microbiota of Malaysian tropical peatlands specifically the methanogens (methane producers) and methanotrophs (methane consumers) remains poorly characterised. This study aimed to determine the key players in methane production and to assess their spatial distribution in different oil palm management zones (i.e., avenue, cover crop, frond pile, and weeded circle) across depths namely 0–15 cm, 15–30 cm, and 30–45 cm in an 11-year-old oil palm plantation that was established on the peatland of Sarawak. Based on high-throughput Illumina sequencing targeting the 16S hypervariable V4–V5 regions of archaeal rRNA amplicon, the diversity indices (Shannon and Simpson) and richness (Chao1 and ACE) were highest in the upper peat layers across management zones, and the microbial diversity and composition are influenced by depths. Taxonomic profiling revealed that the domain Archaea was dominated by Halobacteriota, Thermoproteota, and Thermoplasmatota that increased with depth across management zones. Meanwhile, the order Methanomassiliicoccales was predominant, with Methanomethylophilus sp002495325 as the most abundant species in the upper peat layers in the frond pile zone due to a high decomposition rate of organic matter. The key players of methanogenic archaea belonging to Methanomassiliicoccales, Methanosarcinales, Methanomicrobiales, and Methanobacteriales were detected in oil palm peat soils, providing indirect genetic evidence for the biogeochemical processes associated with methane production in the oil palm plantation. Having established the feasibility of utilising high-throughput sequencing to characterise the archaeome of Malaysian oil palm plantation, future works in correlating the relative abundance of methanogens and methanotrophs with methane production will be instrumental in providing valuable insights for prediction and mitigation of methane emissions in oil palm cultivation on peat.
The integration of cattle grazing activities as potential best sustainable practices for weeding operations in oil palm plantations.
Authors: Umar Y , Syakir M I , Yusuff S , Azhar B , Tohiran K A 
Published: May 2023

Abstract
Oil palm agriculture depends heavily on the use of herbicides to preserve crop output against competing weeds. Rising concerns about the impact of herbicides and carbon emissions on biodiversity and ecosystems require an urgent transformation in weed management. The 45% increase in global oil palm production area has resulted in increased agrochemical inputs in oil palm producing countries. Currently, estimated herbicide usage in Malaysia is reported to have increased by 18%. In fact, the use of herbicides may destroy understory vegetation that serves as critical habitat for certain species that are essential for the biodiversity of the oil palm. Hence, without any effort for innovation and sustainable weeding practices, this may lead to excessive use of herbicides, which reduce microbial activity, alter soil organic matter, and consequently influence soil CO2 emissions. The integrated cattle grazing system in oil palm plantations can be seen as a land-sharing method. Potentially, the livestock integration can improve productivity of the land while minimizing the impact of pollution and resource degradation. So, any reduction in the use of herbicides should be balanced by innovative, sustainable weed control methods such as the integration of cattle grazing. This will help reduce pollution, restore soil carbon (C) sequestration, and protect the oil palm ecosystem’s biodiversity. This review demonstrates that modern livestock systems can be redesigned to better exploit cattle and buffaloes’ ecological niches as sustainable best practices to regenerate oil palm plantation landscapes and contribute to faunal conservation initiatives in Malaysia’s oil palm plantation ecosystem.
Industrial wastewater treatment methods employed in Southeast Asian countries
Authors: Razman K K , Hanafiah M M , Ramli A N , Harun S N 
Published: May 2023

Abstract
Wastewater pollution from industrial sector has tremendously increased in recent years and has posed severe environmental and health problems in many countries worldwide. Humans and other living organisms need clean water to sustain life and performing other daily activities, such as growing crops in agriculture, mining, and manufacturing. However, lack of effective water treatment and poor management of water sources caused by wastewater discharge to the environment without sufficient treatment have contributed to the high concentration of organic matter and hazardous compounds. In Southeast Asian countries, several treatments are employed in treating wastewater such adsorption, advanced oxidation process and membrane filtration reactor. As there are limited data demonstrating the most efficient and cost-effective way for wastewater treatment in the Southeast Asia’s industrial sector, this paper aims to examine the existing and advanced methods for treating industrial wastewater in Southeast Asian countries and assess its efficacy in removing contaminants from the industrial wastewater. PRISMA approach was used to conduct the review of this study with 64 articles making the final selection from 5 Southeast Asian countries (Malaysia, Singapore, Indonesia, Thailand and Vietnam). The review found that the anaerobic aerobic-wetland sequential system and a convective sludge dryer removed the highest number of contaminants eliminating almost 99% of chemical oxygen demand (COD), volatile suspended solid (VSS), and volatile fatty acid (VFA) with an added benefit of being cost effective, environmentally friendly and sustainable.
Assessing Forest Carbon Accumulation Potential Across Different Treatments using Field Inventory Data
Authors: Mazlan S M , Wan Mohd Jaafar W S , Omar H , Teh Y A , Cutler M E J 
Published: May 2023

Abstract
Deforestation and forest degradation lead to an increase in the level of carbon in the atmosphere and disrupted the global carbon cycle. The tropical forest has received a lot of interest since it contributes around 60% of the total global forest carbon. By enhancing carbon sink, tropical forests have a great potential in mitigating climate change. Assessing aboveground biomass (AGB) and carbon stock through field inventories is crucial for this purpose as it provides the most accurate result. The research was conducted at Danum Valley Conservation Area and INFAPRO in Sabah, Malaysia. An earlier study over 35 years ago at this site suggests that restored forests accrue AGB at twice the rate of regenerating forests, though the cause of this difference between treatments is unclear. Thus, this study will focus on three principal study sites which are restored, naturally regenerating and old-growth forests to determine the forest’s potential to sequester and store carbon in the forest ecosystem. These three sites were chosen because it is a well-established plot from the earlier inventory over the last seven years. The field measuring method is a non-destructive methodology. Tree parameters such as diameter at breast height (DBH), tree height and tree species diversity were collected for calculating AGB using a species-specific allometric equation. Results showed a positive correlation between tree species, diameter at breast height, and biomass/carbon stock across three different forest treatments. The active restoration increases up to 151% carbon stock whilst the old-growth forest increased by 34% and natural regeneration increased by 73%, which active restoration can be the best solution for forest treatment. The outcome of this study will increase the ability of forest authorities and the Malaysian government to effective monitoring of carbon stock for establishing reliable standard guidelines in measuring deforestation and forest degradation toward achieving sustainable forest management.
Developing an IoT-Based Digital Climate Station at Dramaga Climate Observational Station
Authors: Aditama G K L , Wijaya S K , Siagian S B , Nugroho W 
Published: May 2023

Abstract
A climatological station has several obligations to conduct climatological observations over a long-term time range, with the observed parameters consisting of air temperature, relative humidity, solar radiation, air pressure, wind, rainfall, and soil temperature. At the moment, the BMKG (Indonesia Meteorological Administration) Climate Station manages to do the task conventionally with the observer on duty. By utilizing state-of-the-art technology, an internet-based automatic climate monitoring system was designed to ease the data users’ ability to conduct real-time climate monitoring anywhere connected to the Internet. Dramaga Climatological Station is one of BMKG's observational stations to be used as a sample for digital instrument monitoring. The Digital Climatological Station (DCS) was a system capable of measuring elements of climate automatically that was designed using the Campbell CR1000X datalogger for data acquisition, multiple meteorological sensors, and a solar-based power system. The sensors in this system were a combination of sensors with voltage output and serial (SDI-12) output, so that all the sensors could match the number of logger ports. The overall industrial-grade sensors had a maximum error of 2.38%. Acquired data from the logger was sent via the Amazon AWS IoT Core MQTT Broker using the MQTT protocol. Subscribing was carried out on the server by Node-Red, stored in a MySQL database, and displayed using Grafana on a desktop or mobile phone. The system managed to transmit the data with more than 97% completion out of 1440 daily records. The mentioned instrument is expected to be a pioneer in observation automation in order to assist the observer while improving accuracy.