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Enhancing and Optimising Solar Power Forecasting in Dhar District of India using Machine Learning
Power and energy systems around the world are expanding and evolving in tandem with technological advancement. In the current scenario, energy is a...
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Explainable Machine Learning for Drug Classification
This article provides a machine learning-based drug categorization research effort. The public repository Kaggle is where the dataset for this study...
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Machine Learning in Corrosion
This chapter presents the advances and progress on the use of machine learning in corrosion. Specifically, the use of machine learning to predict...
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Primer on Machine Learning
The previous chapter introduced various concepts from statistics and probability relevant to forecasting. As many state-of-the-art approaches rely on...
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Application of machine learning techniques to predict viscosity of polymer solutions for enhanced oil recovery
Polymer flooding has become one of the most developed and implemented enhanced oil recovery (EOR) techniques. The principal controlling factor in...
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Machine Learning for Chemical Loo** Combustion
This chapter describes the application of various machine learning (ML) algorithms/techniques to CLC. Recently machine learning (ML), as a branch of...
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Comparative study of machine learning algorithms for wind speed prediction in Dhaka, Bangladesh
This study evaluated the performance of multiple models that used machine learning to anticipate wind speed in the city of Dhaka. The NASA Power...
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High-resolution meteorology with climate change impacts from global climate model data using generative machine learning
As renewable energy generation increases, the impacts of weather and climate on energy generation and demand become critical to the reliability of...
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Machine Learning for Combustion Chemistry
Machine learning provides a set of new tools for the analysis, reduction and acceleration of combustion chemistry. The implementation of such tools...
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Machine Learning in Asphaltenes Mitigation
The issue of Asphaltenes formation inside the pipeline is a major concern in flow assurance industry. These are complex polar molecules with high...
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Water Quality Classification Using Machine Learning Techniques
There is no life without water. All humans, plants, and animals need water to live. It is important to know if drinking water, a resource of human...
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Machine Learning Applications in Smart Grid
The sheer volume of real-time data related to grid security, power quality, energy price, energy demand, etc., is the main challenge in smart grid....
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A comparative study of machine learning and deep learning methods for energy balance prediction in a hybrid building-renewable energy system
Globally, the construction industry is experiencing an increase in energy demand, which has significant environmental and economic repercussions. To...
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Wind speed prediction for site selection and reliable operation of wind power plants in coastal regions using machine learning algorithm variants
The challenge of predicting wind speeds to facilitate site selection and the consistent operation of wind power plants in coastal regions is a global...
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Machine learning and neural network supported state of health simulation and forecasting model for lithium-ion battery
As the intersection of disciplines deepens, the field of battery modeling is increasingly employing various artificial intelligence (AI) approaches...
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Analysis of decarbonization path in New York state and forecasting carbon emissions using different machine learning algorithms
The state of New York admitted 143 million metric tons of carbon emissions from fossil fuels in 2020, prompting the ambitious goal set by the CLCPA...
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Machine Learning and Flow Assurance Issues
This chapter briefly discusses the main challenges facing the flow assurance related areas in the oil and gas industry. It also provide simple...
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Rough set-based machine learning for prediction of biochar properties produced through microwave pyrolysis
Biochar, a carbon-rich compound, has a plethora of applications being explored in soil improvement, wastewater treatment, catalysis, and more. It is...
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Machine Learning Application in Gas Hydrates
The issue of gas hydrates is one of the major concerns in flow assurance industry. In order to study the gas hydrates theroretically, reserachers...
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Machine Learning Applications in Smart Grid
This chapter provides an overview of machine learning applications in the power system, particularly in the smart grid (SG).