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Deep Neural Network for Microgrid Management
In this chapter, an intelligent multi-microgrid (MMG) energy management method will be proposed based on deep neural network (DNN) and model-free...
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Electric Heating Load Prediction Based on TCN-LSTM Hybrid Neural Network
The traditional load prediction is based on linear modeling, which does not consider the uncertainty of load and has no small errors. Deep learning...
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Predicting the Performance Enhancement of Proton Exchange Membrane Fuel Cell at Various Operating Conditions by Artificial Neural Network
The present chapter focuses on the results of a numerical investigation carried out to improve the performance of proton exchange membrane fuel cells...
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Design of MAC Unit for an Artificial Neural Network Using Reversible Logic Gates
The processing unit is the most essential part in an artificial neural network. The processing unit performs the complex parallel computations that...
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Pyrolysis of cattle dung: model fitting and artificial neural network validation approach
The pyrolysis of the cattle dung was quantified using the Coats-Redfern method. The thermogravimetric and derivate curves (TG/DTG) divided the...
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Prediction of higher heating value of biochars using proximate analysis by artificial neural network
The biochars obtained from the pyrolysis of biomass at different conditions have the potential to be used as biofuels. Thus, as a critical fuel...
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Slope stability prediction based on a long short-term memory neural network: comparisons with convolutional neural networks, support vector machines and random forest models
The numerical simulation and slope stability prediction are the focus of slope disaster research. Recently, machine learning models are commonly used...
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Intelligent PV Fault Detection and Categorization Based on Metaheuristic Algorithm and Feedforward Neural Network
This study proposes a novel approach to identify and classify faults in photovoltaic systems. Specifically, a hybrid model is developed by...
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Load Forecasting Based on Improved Long Short-Term Memory Artificial Neural Network
To tackle the problems caused by randomness and uncertainty in load prediction in smart grid, this paper proposes an innovative model by combing grey...
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Maximum Power Extraction in Partial Shaded Grid-Connected PV System Using Hybrid Fuzzy Logic/Neural Network-Based Variable Step Size MPPT
The photovoltaic (PV) system’s output power varies owing to solar radiation’s irregularity, which confines their usage for various applications....
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Application of Artificial Neural Network (ANN) for Calculations of Pressure–Concentration–Temperature (PCT) Diagrams in Hydrogen – Metal Hydride Systems
MATLAB Neural Network (NN) toolbox was used to obtain relations between pressure, temperature, and concentration in a metal hydride. In previous...
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Recurrent Neural Network for the Identification of Nonlinear Dynamical Systems: A Comparative Study
This study compares three different recurrent neural network topologies in order to assess their estimated capabilities. The three neural networks...
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Land Cover Change Simulation Based on Cellular Automata Using Artificial Neural Network Model Transition in Kedungkandang District, Malang City
Kedungkandang District, Malang City, has experienced a rapid increase in population, so within ten years there has been a conversion of non-built...
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A new NIALM system design based on neural network architecture and adaptive springy particle swarm optimization algorithm
A recent research interest in demand-side management technology of smart grids is to know what appliances are operating in a home, by giving only the...
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Compressive Strength Prediction of Aluminosilicate Precursors Based Geopolymers Through Artificial Neural Network (ANN)
The need for the present decade is an environmentally friendly approach to the utilization of building materials. Geopolymers which are produced from...
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Multi-Term Electrical Load Forecasting of Smart Cities Using a New Hybrid Highly Accurate Neural Network-Based Predictive Model
This paper presents FARHAN, a novel hybrid model designed to address the challenges of electrical load forecasting in smart grids. FARHAN combines...
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Prediction on microwave-assisted elimination of biomass tar using back propagation neural network
Microwave-assisted cracking is an emerging technique for biomass tar elimination, but lacks the artificial intelligence application for predicting...
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Optimization of Target Value of the Volumetric Efficiency by Renovating the Design of Vikyno RV165-2 Diesel Engine Intake Manifold by Using Simulation and Artificial Neural Network
Intake efficiency is one of the quantities used to evaluate the quality of the intake period in a diesel engine. The value of intake efficiency...
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Power system transient stability assessment based on the multiple paralleled convolutional neural network and gated recurrent unit
In order to accurately evaluate power system stability in a timely manner after faults, and further improve the feature extraction ability of the...
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Adsorption of Congo red from aqueous solution onto KOH-activated biochar produced via pyrolysis of pine cone and modeling of the process using artificial neural network
Most of dyes cause various environmental and health problems due to their toxic, mutagenic, and even carcinogenic properties. Therefore, several...
