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ISSN: 2666-5190

Reliable modeling of sulfur solubility in sour gas mixtures using advanced ensemble learning frameworks

Accurate prediction of sulfur solubility in sour gas mixtures is critical for mitigating operational risks associated with sulfur deposition in pipelines and processing facilities. In this study, we...

Advanced machine learning approaches for predicting energy and fossil fuel consumption for green growth

A large increase in energy usage has occurred due to rapid industrial growth and urbanization, which has resulted in environmental degradation and heavy reliance on the consumption of fossil fuels....

Enhancing decentralized community energy systems through an auction-theoretic transactive market framework for efficient demand response and renewable integration

Efficient demand response management and real-time energy trading are essential for achieving stable, cost-effective, and sustainable integration of distributed energy resources within decentralized...

Design and real time implementation of intelligent MPPT and pitch control strategies for grid-connected WECS-PMSG under highly dynamic and uncertain wind conditions

Achieving high efficiency and reliable operation in wind energy conversion systems remains a critical challenge, particularly under fluctuating wind conditions, where energy extraction must be carefully...

Beyond silos: A framework for cross-sector resilience in the energy transition

Resilience has emerged as a critical concept for understanding how systems respond to disturbances. However, existing approaches often remain siloed within specific sectors. Here, it is shown that cross-sector...

Geometrical characterization of the multiscale pore structure in clay-rich shale: A machine learning approach

The pore structure of shale plays a critical role in hydrocarbon storage and flow; however, the microscale complexity of Gulong shale remains poorly characterized, limiting efficient resource exploitation....

A shale oil ‘sweet-spot’ evaluation factor construction method based on quantitative analysis of the influence degree of geological controlling factors

Significant breakthroughs have been made in shale oil exploration within the Upper Member of the Lower Ganchaigou Formation (E32) in the Yingxi area, Qaidam Basin. However, due to the poor continuity...

Hybrid LSTM-XGBoost model for energy management optimization of hydrogen-integrated renewable energy system

This study proposes a novel optimization framework for hybrid renewable energy systems (HRES) based on advanced Machine Learning techniques. The investigated system integrates solar photovoltaic panels,...

Scalable edge computing architecture for multi-site photovoltaic systems monitoring: A modular microservice-based approach

The large-scale deployment of photovoltaic installations in remote locations underscores the need for effective monitoring systems. In a context where solar plants embed heterogeneous equipment, monitoring...

A modified artificial bee colony optimization for distributed generation insertion in electrical distribution networks

Optimizing the location of distributed generation units in electrical distribution networks is a well-established approach to improving grid performance, particularly for enhancing reliability and reducing...

Application of Raman-infrared spectroscopy in the evaluation of organic matter characteristics and thermal maturity of highly-to overmature source rocks

With the increasing depletion of conventional oil and gas resources, deep to ultra-deep petroleum resources have become a critical direction for global energy strategies. The scientific evaluation of...

Design and construction of an affordable and portable solar kit for remote areas with Arduino-based remote switching capability

Solar power presents a viable and sustainable solution, playing a pivotal role in reducing the nation's reliance on non-renewable energy, especially in Sub Saharan Africa where over 570 million people...

Toward sustainable power generation: Techno-Economic optimization of a solar-driven ORC power plant with integrated desalination and hydrogen backup

This study investigates the integrated techno-economic and environmental performance of a solar-assisted organic Rankine cycle (ORC) power plant coupled with thermal energy storage (TES), multi-effect...

A comprehensive review over advancements in solar cooking: Enhancing efficiency with AI and thermal energy storage

Solar cookers have evolved into an eco-friendly alternative to conventional cooking methods by reducing dependency on fossil fuels. Because of advancements in materials, insulation techniques, and reflector...

A new hybrid deep-learning model with hyperparameter optimization for short-term wind power generation forecasting

The present research paper presents a new hybrid deep-learning model which aims to enhance the precision of multi-step, short-term wind power generation forecasting. The proposed hybrid model integrates...

Field development plan of geothermal hotspot in eastern India: A case study from Bhimband, Bihar

Bhimband, located in Bihar in eastern India hosts a well-known geothermal system that appears to be strongly influenced by fault-controlled circulation, and the surface springs there routinely reach...

Advances in thermoresponsive hydrogel-based smart windows for building energy saving

Smart windows offer a means to dynamically regulate sunlight and significantly reduce energy consumption in buildings. In recent years, thermochromic hydrogels have attracted considerable attention...

Toward renewable energy deployment in North African countries: Potential resources, investments, transition scenario, opportunities, challenges, and policy

In the last ten years, the North African Countries (NAC) have reached remarkable rates of the development of renewable energy in last ten years, with an overall growth of the EU's renewable generation...

Urban heat transitions: Renewable integration, digital system optimization, and life-cycle perspectives for fifth-generation district heating and cooling systems

As urban areas face mounting climate and energy challenges, district heating and cooling systems are emerging as critical infrastructures for sustainable thermal transitions. This paper explores the...

In-situ kerogen maturation using thermochemical fluids: Impact on shale properties and implications for hydrocarbon recovery

The increasing global demand for energy has raised interest in unconventional hydrocarbon resources such as shale gas, tight oil, and coalbed methane. A major limitation in exploiting these resources...

A new algorithm for transient simulation of well killing based on drift-flux model

In recent years, Shallow water Christmas trees have made a significant breakthrough internationally. It fills technological gaps, alleviates energy shortages, and offers innovative solutions for global...

Russia's carbon capture, utilization and storage (CCUS) policy in the context of hydrogen energy development: A critical review

This study critically evaluates Russia's carbon capture, utilization, and storage (CCUS) policy within the framework of low-carbon hydrogen development, with a particular focus on the feasibility of...

AI enabled geospatial intelligence for the energy transition: A comparative CNN study on CCUS, geothermal siting, and NetZero strategies

Practical guidance about tradeoff choices between accuracy, efficiency and deployment ability in deep convolutional neural network architectures for land use and land cover classification has been largely...

Green hydrogen transport across the Caspian Sea: geomorphological constraints and strategic maritime routing

Transition toward a low-carbon economy has positioned green hydrogen as a key vector for sustainable energy systems. Large-scale deployment remains constrained by transportation and storage challenges,...

Adaptive LSR fusion of multi-scale 3-branch CNN-BiLSTM, LSTM and CNN-BiLSTM models for robust multi-seasonal and multi-horizon weather forecasting in renewable energy management

Accurate and robust forecast of meteorological variables such as wind speed, solar irradiance and ambient temperature is challenging because of their nonlinear, non-stationary behavior as well as season-dependent...

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