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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 ...
Challenges And Practices Identification Via A Systematic Literature Review In The Adoption Of Green Cloud Computing: Client’s Side Approach
(
IEEE
, 2021 , Article)
Green cloud computing gains popularity over the last decade due to the extensive use of cloud computing. The trend towards cloud computing is spreading at a fast rate. Cloud computing providers extend their data centers ...
An iterative cyclic tri-strategy hybrid stochastic fractal with adaptive differential algorithm for global numerical optimization
(
Elsevier Inc.
, 2023 , Article)
Many real-life problems can be formulated as numerical optimization problems. Such problems pose a challenge for researchers when designing efficient techniques that are capable of finding the desired solution without ...
Cooling vest with optimized PCM arrangement targeting torso sensitive areas that trigger comfort when cooled for improving human comfort in hot conditions
(
Elsevier Ltd
, 2017 , Article)
The objective of this work is to optimize the arrangement of Phase Change Material (PCM) packets in a cooling vest by targeting torso segments that can trigger comfort when cooled. An integrated fabric-PCM and bio-heat ...
Automatic variable reduction
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Institute of Electrical and Electronics Engineers Inc.
, 2022 , Article)
A variable reduction strategy (VRS) is an effective method to accelerate the optimization process of evolutionary algorithms (EAs) by simplifying the corresponding optimization problems. Unfortunately, the VRS is manually ...
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 ...