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Field: Solar Radiation and Photovoltaics

Computationally expedient Photovoltaic power Forecasting: A LSTM ensemble method augmented with adaptive weighting and data segmentation technique

Verified

Razin Ahmed, Victor Sreeram, Roberto Togneri, Amitava Datta et al.

Energy Conversion and Management
Journal:
Year: 2022
Citations: 94
Physical SciencesComputer ScienceArtificial Intelligence
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Energy Efficient Hybrid Dual Axis Solar Tracking System

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Rashid Ahammed Ferdaus, Mahir Asif Mohammed, Sanzidur Rahman, Sayedus Salehin et al.

Journal: Journal of Renewable EnergyYear: 2014Citations: 93

This paper describes the design and implementation of an energy efficient solar tracking system from a normal mechanical single axis to a hybrid dual axis. For optimizing the solar tracking mechanism electromechanical systems were evolved through implementation of different evolutional algorithms an...

Physical SciencesComputer ScienceArtificial IntelligenceOpen Access
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Numerical investigation on the effect of different parameters in enhancing heat transfer performance of photovoltaic thermal systems

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Afroza Nahar, M. Hasanuzzaman, Nasrudin Abd Rahim, Salma Parvin

Journal: Renewable EnergyYear: 2018Citations: 90

Photovoltaic thermal (PV/T) collectors that supply both electricity and heat are growingly becoming popular in household and other applications. However, efficient heat removal from backside of PV module is still a challenge that hampers its electrical as well as thermal performance. In the present ...

Physical SciencesEnergyRenewable Energy, Sustainability and the Environment
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Using ensembles of adaptive neuro-fuzzy inference system and optimization algorithms to predict reference evapotranspiration in subtropical climatic zones

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Dilip Kumar Roy, Rahim Barzegar, John Quilty, Jan Adamowski

Journal: Journal of HydrologyYear: 2020Citations: 86

Accurate prediction of reference evapotranspiration (ET0) is essential for efficient planning and management of limited water resources through proper irrigation scheduling. The FAO-56 Penman-Monteith approach to ET0 estimation was adopted to compute ET0 from data obtained during the period 2004–201...

Physical SciencesEnvironmental ScienceEnvironmental Engineering
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Automated irrigation system using solar power

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Jia Uddin, S M Taslim Reza, Qader Newaz, Jamal Uddin et al.

Year: 2012Citations: 85

This paper proposes a model of variable rate automatic microcontroller based irrigation system. Solar power is used as only the source of power to control the overall system. Sensors are placed on the paddy field and these sensors continuously sense the water level and give the message to the farmer...

Physical SciencesEnergyRenewable Energy, Sustainability and the Environment
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Hybrid energy system for St. Martin Island, Bangladesh: An optimized model

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Ariful Islam, M. M. Rahman, Md. Alam Hossain Mondal, Firoz Alam

Journal: Procedia EngineeringYear: 2012Citations: 84

St. Martin's island is a small island in the Bay of Bengal about 9 km south of the main land of Bangladesh. Nearly 6000 inhabitants live there and fishing is their primary livelihood. Since the island is far away from the main land grid connection is almost impossible in terms of cost and geographic...

Physical SciencesEnergyEnergy Engineering and Power TechnologyOpen Access
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Calculation of bright roof-tops for solar PV applications in Dhaka Megacity, Bangladesh

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Md. Humayun Kabir, Wilfried Endlicher, Jonas Jägermeyr

Journal: Renewable EnergyYear: 2009Citations: 83
Physical SciencesEnergyRenewable Energy, Sustainability and the Environment
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SolNet: A Convolutional Neural Network for Detecting Dust on Solar Panels

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Md. Saif Hassan Onim, Zubayar Mahatab Md Sakif, Adil Ahnaf, Md Ahsan Kabir et al.

Journal: EnergiesYear: 2022Citations: 78

Electricity production from photovoltaic (PV) systems has accelerated in the last few decades. Numerous environmental factors, particularly the buildup of dust on PV panels have resulted in a significant loss in PV energy output. To detect the dust and thus reduce power loss, several techniques are ...

Physical SciencesEnergyRenewable Energy, Sustainability and the EnvironmentOpen Access
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Remote Sensing of Global Daily Evapotranspiration based on a Surface Energy Balance Method and Reanalysis Data

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Xuelong Chen, Zhongbo Su, Yaoming Ma, Isabel F. Trigo et al.

Journal: Journal of Geophysical Research AtmospheresYear: 2021Citations: 78

Abstract Currently available evapotranspiration (ET) products have not provided us with an accurate estimation for global irrigated land area. Thermal energy balance (EB) model has the potential to solve this problem. The accurate estimation of aerodynamic resistances is a major complication in most...

Physical SciencesEnvironmental ScienceGlobal and Planetary ChangeOpen Access
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Design, construction and testing of parabolic solar cooker for rural households and refugee camp

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S.M. Masum Ahmed, Md. Rahmatullah Al-Amin, Shakil Ahammed, Foysal Ahmed et al.

Journal: Solar EnergyYear: 2020Citations: 78

This research paper demonstrates the importance of Parabolic Solar Cooker both for developing countries and for refugee camps. This cooker's main purpose was to concentrate the solar radiation and convert it to heat using different reflective materials. Some essential factors were considered as the ...

Physical SciencesEnergyRenewable Energy, Sustainability and the Environment
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Feasibility of solar pump for sustainable irrigation in Bangladesh

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M. A. Hossain, M. S. Hassan, Md. Abdul Mottalib

Journal: International journal of energy and environmental engineeringYear: 2015Citations: 75

A base-line survey was conducted in 2010 at different locations of Bangladesh to know the present status of solar pumps. The respondents were solar pump users, suppliers and service providers. There were about 150 solar pumps in Bangladesh, among them 65 % were used for supplying drinking water to t...

Physical SciencesEnvironmental SciencePollutionOpen Access
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Effects of Natural Dust on the Performance of PV Panels in Bangladesh

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Md. Mizanur Rahman, Mohammad Aminul Islam, A.H.M. Zadidul Karim, Asraful Haque Ronee

Journal: International Journal of Modern Education and Computer ScienceYear: 2012Citations: 75

Energy is considered a prime agent in the generation of wealth and a significant factor in economic development. Limited fossil resources and environmental problems associated with them have emphasized the need for new sustainable energy supply options that use renewable energies. Among available te...

Physical SciencesEnergyRenewable Energy, Sustainability and the EnvironmentOpen Access
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Prediction of solar irradiation and performance evaluation of grid connected solar 80KWp PV plant in Bangladesh

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Md. Bengir Ahmed Shuvho, Mohammad Asaduzzaman Chowdhury, Shameem Ahmed, Mohammod Abul Kashem

Journal: Energy ReportsYear: 2019Citations: 74

Energy security is the triggering factor for a developing country. Thus, for ensuring energy security renewable energy such as PV plant could be a best alternative. This study deals with the performance analysis of 80 KWp grid-connected solar power plant in Dhaka. This study presents a solar irradia...

Physical SciencesComputer ScienceArtificial IntelligenceOpen Access
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Geospatial multi-criteria analysis for identifying high priority clean energy investment opportunities: A case study on land-use conflict in Bangladesh

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Kenji Shiraishi, Rebekah Shirley, Daniel M. Kammen

Journal: Applied EnergyYear: 2018Citations: 74

Bangladesh is a globally important emerging economy with rapidly increasing energy demand. The Bangladeshi government's primary capacity expansion plan is to install 13.3 GW of new coal by 2021, including the 1.3 GW Rampal coal power plant to be developed in the Sundarbans. Inadequate geospatial and...

Physical SciencesEnvironmental SciencePollutionOpen Access
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A Comprehensive Review of the Application of Machine Learning in Fabrication and Implementation of Photovoltaic Systems

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Srabanti Datta, Anik Baul, Gobinda Chandra Sarker, Pintu Kumar Sadhu et al.

Journal: IEEE AccessYear: 2023Citations: 71

Solar energy is a promising source of renewable energy, but its low efficiency, instability, and high manufacturing costs remain a big challenge. Recently, machine learning (ML) techniques have gained attention in the photovoltaic (PV) sector because of advances in computer power, tools, and data cr...

Physical SciencesEnergyRenewable Energy, Sustainability and the EnvironmentOpen Access
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