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Kinetic modeling of microalgae growth and CO2 bio-fixation using central composite design statistical approach
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Elsevier B.V.
, 2020 , Article)
The optimum growth (μ), CO2 bio-fixation (RCO2) rates and the energy ratio (ER) of microalgae Chlorella vulgaris (C.v) were identified using central composite design statistical approach (CCD-SA). μ and RCO2 parameters ...
New Deep Learning-Based Approach for Wind Turbine Output Power Modeling and Forecasting
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Institute of Electrical and Electronics Engineers Inc.
, 2020 , Article)
An intelligent machine learning-based method is developed in this paper for modeling and prediction of the wind turbine (WT) output power. The developed technique makes use of the advanced machine learning models for ...
A Quasi -Oppositional Method for Output Tracking Control by Swarm -Based MPID Controller on AC/HVDC Interconnected Systems with Virtual Inertia Emulation
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Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
This paper presents a comprehensive evaluation of the effect of quasi oppositional -based learning method utilization in output tracking control through a swarm-based multivariable Proportional-Integral-Derivative (SMPID) ...
DRL-HEMS: Deep Reinforcement Learning Agent for Demand Response in Home Energy Management Systems Considering Customers and Operators Perspectives
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Institute of Electrical and Electronics Engineers Inc.
, 2022 , Article)
With the smart grid and smart homes development, different data are made available, providing a source for training algorithms, such as deep reinforcement learning (DRL), in smart grid applications. These algorithms allowed ...
Exact Analytical Magnetic Field Analysis, Optimization Design and Realization of an Eccentric Magnetic Harmonic Gear
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Institute of Electrical and Electronics Engineers Inc.
, 2022 , Article)
The eccentric magnetic harmonic gear (EMHG) has a high efficiency and high gear ratio capability for large torque transmission. The air gap magnetic field can be calculated using an exact analytical model. The analytical ...
Selection of the best dispatch strategy considering techno-economic and system stability analysis with optimal sizing
(
Elsevier Ltd
, 2022 , Article)
In this paper, optimized hybrid off-grid renewable energy systems (HRES) have been designed for two divisional locations in Dhaka and Khulna in Bangladesh. An analysis is conducted using five different load dispatch ...
Developing pretreatment methods to promote the production of biopolymer and bioethanol from residual algal biomass (RAB)
(
Elsevier
, 2022 , Article)
This study investigates the effect of acidic pretreatment (HT-ACPT), enzymatic pretreatment (ENZ-PT), and microwave laser-hydrogen peroxide-Fe-nanoparticle pretreatment (Mv-H2O2-Fe-PT) on the production of bioethanol ...
Placement and Capacity of EV Charging Stations by Considering Uncertainties with Energy Management Strategies
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Institute of Electrical and Electronics Engineers Inc.
, 2023 , Article)
At the present context, Plug-in electric vehicles (PEVs) are gaining popularity in the automotive industry due to their low CO2 emissions, simple maintenance, and low operating costs. As the number of PEVs on the road ...
Comparative exergy, multi-objective optimization, and extended environmental assessment of geothermal combined power and refrigeration systems
(
Institution of Chemical Engineers
, 2021 , Article)
In the present work a comparative exergy analysis, multi-objective optimization, as well as extended environmental analysis of a geothermal-based power and refrigeration system, is carried out. Different arrangements with ...
Pure random orthogonal search (PROS): A plain and elegant parameterless algorithm for global optimization
(
MDPI AG
, 2021 , Article)
A new, fast, elegant, and simple stochastic optimization search method is proposed, which exhibits surprisingly good performance and robustness considering its simplicity. We name the algorithm pure random orthogonal search ...