Comprehensive Approach to Mitigating Solar Photovoltaic Power Penetration Effects in a Microgrid by Youngil Kim, Manef Bourogaoui, Azeddine Houari, Hyeok Kim

“…High solar photovoltaic (PV) penetration in the electrical grid can result in undesired effects on the voltage quality, leading to line loss and voltage magnitude increases. …”
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DEVELOPMENT OF A GRAVITATIONAL AND PENDULUM SOLAR TRACKER FOR STANDALONE PHOTOVOLTAIC PANELS by Jorge A. Wissmann, Carlos E. C. Nogueira, Marcelo M. M. Zampiva, Jair A. C. Siqueira, Doglas Bassegio

“…In remote areas without electrical grid access, motorized systems may not be feasible. …”
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Enhancing Solar Energy Prospects: Predicting Direct Normal Irradiance in Qinghai Province Using ALO-RF Modeling by MD Abdul Munnaf, Tawhidul Islam

“…Precise predictions facilitate the efficient assimilation of solar electricity into the electrical grid, augmenting energy production and maintaining system stability. …”
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Prediction of Rooftop Photovoltaic Solar Potential Using Machine Learning by K. Mukilan, K. Thaiyalnayaki, Yagya Dutta Dwivedi, J. Samson Isaac, Amarjeet Poonia, Arvind Sharma, Essam A. Al-Ammar, Saikh Mohammad Wabaidur, B. B. Subramanian, Adane Kassa

“…Solar energy forecasting accuracy is essential for increasing the quantity of renewable energy that can be integrated into the existing electrical grid control systems. The availability of data at unprecedented levels of granularity allows for the development of data-driven algorithms to improve the estimation of solar energy generation and production. …”
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Conv‐ELSTM: An ensemble deep learning approach for predicting short‐term wind power by Guibin Wang, Xinlong Huang, Yiqun Li, Hong Wang, Xian Zhang, Jing Qiu

“…Abstract Accurate and reliable forecasting of wind power is essential for the stable integration of wind energy into the electrical grid. However, the chaotic nature of wind power presents a significant challenge in utilizing data for effective short‐term forecasting, such as 60‐min predictions. …”
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Daily Prediction Model of Photovoltaic Power Generation Using a Hybrid Architecture of Recurrent Neural Networks and Shallow Neural Networks by Wilson Castillo-Rojas, Juan Bekios-Calfa, César Hernández

“…Accuracy in this photovoltaic energy forecasting is essential to increase the amount of renewable energy that can be introduced to existing electrical grid systems. The objective of this work is based on developing various computational models capable of making short-term forecasting about the generation of photovoltaic energy that is generated in a solar plant. …”
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Analysis and optimization of small modular reactors contribution to the power production of Greece by Kaissas Ioannis M., Nikolaidis Nikolaos I.

“…The daily and monthly distribution of generated energy of the previous year (2023) is analyzed to demonstrate the potential operation of small modular reactors in Greece's electrical grid. The outcome addresses whether deploying a small modular reactor is energetically beneficial for Greece and indicates the number of modules required or how many small modular reactors, in combination with renewable sources, can meet the demand. …”
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Operating Voltage and Frequency Regime Validation of Grid Code Requirements in South Africa by Gideon D. Joubert, Atanda K. Raji

“…South Africa first implemented rolling blackouts known as load shedding to protect the integrity and maintain stability of their ailing electrical grid over a decade ago. Since then, load shedding has become a daily occurrence, which South Africa plans to alleviate through the addition of grid-connected renewable generation. …”
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AVQS: Attack Route-Based Vulnerability Quantification Scheme for Smart Grid by Jongbin Ko, Hyunwoo Lim, Seokjun Lee, Taeshik Shon

“…A smart grid is a large, consolidated electrical grid system that includes heterogeneous networks and systems. …”
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Cross Layer Optimization and Simulation of Smart Grid Home Area Network by Lipi K. Chhaya, Paawan Sharma, Adesh Kumar, Govind Bhagwatikar

“…An electrical “Grid” is a network that carries electricity from power plants to customer premises. …”
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Comparative study of conventional sliding mode control and integral sliding mode control for a bidirectional dc-dc converter in an electric vehicle charger by Oualifi Khadija, Abouobaida Hassan, Mchaouar Youssef, Fathelkhair Abdelmoghit, Akli Hajar, Abouelmahjoub Younes

“…Bidirectional dc-dc converters are crucial for integrating electric vehicles (EVs) with the electrical grid, facilitating both grid-to-vehicle (G2V) and vehicle to grid (V2G) energy transfers. …”
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Offshore Wind Farm Layout Optimization Considering the Power Collection System Cost by S. G. Obukhov, D. Y. Davydov

“…The paper proposes a method for optimizing the layout of offshore wind farms to increase their efficiency by reducing the effect of aerodynamic shading, minimizing electrical losses in cable lines of the system for receiving and transmitting electrical energy generated by wind turbines to the electrical grid of the power system. The task is reduced to determining several parameters that define the geometric dimensions and shape of the layout grid with pre-installed tur-bine locations. …”
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Advancing Coherent Power Grid Partitioning: A Review Embracing Machine and Deep Learning by Mohamed Massaoudi, Maymouna Ez Eddin, Ali Ghrayeb, Haitham Abu-Rub, Shady S. Refaat

“…With the escalating intricacy and expansion of the interconnected electrical grid, the likelihood of power system (PS) collapse has escalated dramatically. …”
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TO THE SUBJECT OF DEVELOPMENT OF POWER SUPPLY PROCESS FOR INDUSTRIAL HEAT TECHNOLOGIES AND HEAT SUPPLY SYSTEMS IN BELARUS by B. M. Khrоustalev, V. N. Romaniuk, V. A. Sednin, A. A. Bobich, D. B. Muslina, T. V. Bubyr

“…It must be emphasized, that such an expansion of energy-saving framework not only reduce the primary energy consumption by heat generating sources, but also significantly improves the conditions of the Belarusian electrical grid operation under the conditions of nuclear power plant commissioning. …”
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Unearthing the reality of ‘Zombie energy systems’ in Africa’s energy transition by Michael O Dioha, Magnus C Abraham-Dukuma, Prudence Dato

“…These are outdated, inefficient, and environmentally harmful energy systems that persist despite being obsolete (e.g. old and mismanaged electrical grid systems and obsolete electrical appliances). …”
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Comparison and Analysis of Algorithms for Coordinated EV Charging to Reduce Power Grid Impact by Cesar Diaz-Londono, Paolo Maffezzoni, Luca Daniel, Giambattista Gruosso

“…Electric vehicle (EV) adoption has been increasing rapidly, posing new challenges for integrating EV charging infrastructure with the existing electrical grid. Uncoordinated charging of EVs can cause transformers to overload, leading to instability and unreliability in the grid. …”
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Mathematical modeling of electric regime of closed supply network taking into account temperature dependence of active resistances by A. O. Shepelev, S. S. Girshin, V. N. Goryunov, O. A. Sidorov, K. V. Khatsevskiy, E. Yu. Shepeleva

“…The purpose of the article is to analyze the modes of an electrical grid with and without consideration of the mutual influence of electro-thermal processes. …”
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Advanced Applications of Fuel Cells during the COVID-19 Pandemic by Shammya Afroze, Md Sumon Reza, Quentin Cheok, Shafi Noor Islam, Abdalla M. Abdalla, Juntakan Taweekun, Abul K. Azad, Nima Khalilpoor, Alibek Issakhov

“…SOFCs are able to supply power to those makeshift hospitals from the main hospital building, as well as supplying electricity to locked-down residential areas to ease the strain on the electrical grid during this pandemic situation. As a result of their extensive applicability and numerous uses, SOFCs can be used to address electrical needs challenges in various sectors.…”
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Exceeding the limits of paediatric heat stress tolerance: the risk of losing a generation to climate inaction by Sulani Nyimbili, Anna Bershteyn, Alexander Azan, Oyinkansola O Babayode

“…These conditions create a risk of mass casualties, with some populations particularly vulnerable due to physiological, behavioural and socioeconomic conditions (eg, lack of adequate shelter, limited healthcare infrastructure, sparse air conditioning access and electrical grid vulnerabilities). Children, especially young children, are uniquely vulnerable to extreme heat-related morbidity and mortality due to factors including low body mass, high metabolism, suboptimal thermoregulatory mechanisms and behavioural vulnerabilities. …”
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An Intelligent Big Data Security Framework Based on AEFS-KENN Algorithms for the Detection of Cyber-Attacks from Smart Grid Systems by Sankaramoorthy Muthubalaji, Naresh Kumar Muniyaraj, Sarvade Pedda Venkata Subba Rao, Kavitha Thandapani, Pasupuleti Rama Mohan, Thangam Somasundaram, Yousef Farhaoui

“…Big data has the ability to open up innovative and ground-breaking prospects for the electrical grid, which also supports to obtain a variety of technological, social, and financial benefits. …”
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