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Gradient boosting dendritic network for ultra-short-term PV power prediction
To achieve effective intraday dispatch of photovoltaic (PV) power generation systems, a reliable ultra-short-term power generation forecasting model...
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Decision Tree Ensembles for Smart Sewage Treatment: An Intelligent Dosing Model for Removing Phosphorus
Removing phosphorus is an essential part of the sewage treatment process, which requires adding the corresponding treating chemical to the sewage....
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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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Self-attention-based Human Activity Detection Using Wearable Sensors
Analyzing human activity through wearable sensors can assist applications connected to context—vigilance and health care. The proposed approach...
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Prediction of Frequency Stability of Grid-Connected Wind Power System After Disturbance
Under the goal of “carbon peaking and carbon neutrality”, the access of high proportion of renewable energy and the application of high proportion of...
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An Islanding Detection Method for Grid-Connected Photovoltaic Power System Based on Modified LightGBM Algorithm
The majority of conventional passive/active island detection techniques rely on electrical feature quantities, and as manual threshold setting is...
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Investigation of the effectiveness of edible oils as solvent in reactive extraction of some hydroxycarboxylic acids and modeling with multiple artificial intelligence models
This study investigated the usability of different vegetable oils as solvents for separating citric, malic, and glycolic acids from aqueous solutions...
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A lightweight time series method for prediction of solar radiation
Solar radiation (Rs) is vital and profoundly influences the environment. Accurate forecasting of Rs is crucial in renewable energy applications,...
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Analysis of Darknet Traffic for Criminal Activities Detection Using TF-IDF and Light Gradient Boosted Machine Learning Algorithm
Darkweb also called as sinkholes, blackholes, network telescopes, and darknet is the environment and the most favorable platform for illegal...
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A Novel Approach on Deep Reinforcement Learning for Improved Throughput in Power-Restricted IoT Networks
The rapid expansion of the Internet of Things (IoT) has stressed the importance of energy-efficient communication protocols, particularly in networks...
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GCNXG: Detecting Fraudulent Activities in Financial Networks: A Graph Analytics and Machine Learning Fusion
The detection of fraudulent actions has become a major challenge for upholding the integrity of financial systems in today’s complex and...
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Threats, Vulnerabilities, and Mitigation in V2G Networks
Vehicle-to-grid (V2G) networks are becoming more common in smart grid systems. This makes it imperative to implement strong security measures to...
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Comparison of multi-step forecasting methods for renewable energy
Multi-step forecasting influences systems of energy management a lot, but traditional methods are unable to obtain important feature information...
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Artificial intelligence-aided wind plant optimization for nationwide evaluation of land use and economic benefits of wake steering
If clean energy pathways are to harness massive increases in wind power, innovations with broad geographic viability will be needed to support...
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Machine Learning for Scale Deposition in Oil and Gas Industry
This chapter briefly discusses the type of machine learning methods used for scales precipitation in flow assurance. It also discussed the scale...
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Machine Learning Models for Absorption-Based Post-combustion Carbon Capture
Carbon dioxide has been identified as one of the leading causes of global climate change. For this reason, it is important to reduce carbon emissions...
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Prediction of the higher heating value of biomass based on multiple classification methods
In general, measuring the higher heating value (HHV) of biomass by experimental methods is time-consuming and complex. These problems can be...
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Methods to Enhance the Pyroelectric Properties and Energy Harvesting
Pyroelectric materials have recently gained much interest due to their low cost and environment-friendly strategy for energy harvesting. However, the...
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Efficiency boost of bifacial Cu(In,Ga)Se2 thin-film solar cells for flexible and tandem applications with silver-assisted low-temperature process
Bifacial Cu(In,Ga)Se 2 (CIGS) solar cells are attractive for a range of applications, but their low power conversion efficiency is a limitation. To...
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MXene supported PtCo bimetallic catalyst for hydrogen evolution in acidic conditions
Using the electrochemical technology to split water molecules to produce hydrogen is the key to obtain green hydrogen for solving the energy crisis....