Razin Ahmed, Victor Sreeram, Yateendra Mishra, Muammer Din Arif
Integration of photovoltaics into power grids is difficult as solar energy is highly dependent on climate and geography; often fluctuating erratically. This causes penetrations and voltage surges, system instability, inefficient utilities planning and financial loss. Forecast models can help; howeve...
Md. Alam Hossain Mondal, Manfred Denich
Md. Alam Hossain Mondal, A. K. M. Sadrul Islam
M. M. Sheikh, N. Manzoor, Jafari Ali Ashraf, Muhammad Adnan et al.
Over the last few decades, weather and climate extremes have become a major focus of researchers, the media and general public due to their damaging effects on human society and infrastructure. Trends in indices of climate extremes are studied for the South Asian region using high-quality records of...
Himangshu Bhowmik, Ruhul Amin
Solar collectors are the main components of a solar heating system. The collectors collect the sun’s energy, transform this radiation into heat, and then transfer this heat into a fluid, water or air, which has many household or industrial applications. This paper introduces a new technology to impr...
H. Fayaz, Nasrudin Abd Rahim, M. Hasanuzzaman, Rehena Nasrin et al.
Irradiations incident on the photovoltaic module are converted only 15–20% into electrical energy and remaining are transformed into heat and drop electrical efficiency. Therefore, to harness both the thermal and electrical energy, hybrid photovoltaic thermal system is an optimum option. Moreover, p...
Md. Mijanur Rahman, Mohammad Shakeri, Sieh Kiong Tiong, Fatema Khatun et al.
This paper presents a comprehensive review of machine learning (ML) based approaches, especially artificial neural networks (ANNs) in time series data prediction problems. According to literature, around 80% of the world’s total energy demand is supplied either through fuel-based sources such as oil...
Md. Alamgir Hossain, Ripon K. Chakrabortty, Sondoss Elsawah, Michael J. Ryan
Accurate forecasting of wind power generation plays a key role in improving the operation and management of a power system network and thereby its reliability and security. However, predicting wind power is complex due to the existence of high non-linearity in wind speed that eventually relies on pr...
Shamsuddin Shahid, Sobri Harun, Ayob Katimon
Yihua Hu, Wenping Cao, Jien Ma, S.J. Finney et al.
Photovoltaic (PV) solar power generation is proven to be effective and sustainable but is currently hampered by relatively high costs and low conversion efficiency. This paper addresses both issues by presenting a low-cost and efficient temperature distribution analysis for identifying PV module mis...
Sanjoy Kumar Nandi, Himangshu Ranjan Ghosh
Jayanthi Devaraj, Rajvikram Madurai Elavarasan, GM Shafiullah, Taskin Jamal et al.
With the growth of forecasting models, energy forecasting is used for better planning, operation, and management in the electric grid. It is important to improve the accuracy of forecasting for a faster decision-making process. Big data can handle large scale of datasets and extract the patterns fed...
Zheng Zhang, Peng Mu, Jingxian He, Zhaoqi Zhu et al.
Abstract Solar steam generation is a highly promising technology for harvesting solar energy and desalination. Here, a new solar steam generation system is introduced based on a surface‐modified polyurethane sponge with bilayered structures for efficient solar steam generation. The top layer, coated...
Tuhibur Rahman, Ahmed Al Mansur, Molla Shahadat Hossain Lipu, Md. Siddikur Rahman et al.
The degradation of solar photovoltaic (PV) modules is caused by a number of factors that have an impact on their effectiveness, performance, and lifetime. One of the reasons contributing to the decline in solar PV performance is the aging issue. This study comprehensively examines the effects and di...
Kamaleddin Aghaloo, Tausif Ali, Yie-Ru Chiu, Ayyoob Sharifi