A review of modern machine learning techniques in the prediction of remaining useful life of lithium-ion batteries

P Sharma, BJ Bora - Batteries, 2022 - mdpi.com
The intense increase in air pollution caused by vehicular emissions is one of the main
causes of changing weather patterns and deteriorating health conditions. Furthermore …

Recent advances in machine learning research for nanofluid-based heat transfer in renewable energy system

P Sharma, Z Said, A Kumar, S Nizetic, A Pandey… - Energy & …, 2022 - ACS Publications
Nanofluids have gained significant popularity in the field of sustainable and renewable
energy systems. The heat transfer capacity of the working fluid has a huge impact on the …

Synthesis, stability, density, viscosity of ethylene glycol-based ternary hybrid nanofluids: Experimental investigations and model-prediction using modern machine …

Z Said, NK Cakmak, P Sharma, LS Sundar, A Inayat… - Powder Technology, 2022 - Elsevier
A direct sol-gel technique was utilized to produce rGO-Fe 3 O 4-TiO 2 ternary hybrid
nanocomposites to produce ethylene glycol (EG) based stable nanofluids, characterized by …

Renewable energy approach towards powering the CI engine with ternary blends of algal biodiesel-diesel-diethyl ether: Bayesian optimized Gaussian process …

M Alruqi, P Sharma, B Deepanraj, F Shaik - Fuel, 2023 - Elsevier
The present study investigates the performance and emissions of a small diesel engine
powered with ternary blends of algal biodiesel, diesel, and diethyl ether. The findings …

Application of machine learning and Box-Behnken design in optimizing engine characteristics operated with a dual-fuel mode of algal biodiesel and waste-derived …

P Sharma, BB Sahoo, Z Said, H Hadiyanto… - International Journal of …, 2023 - Elsevier
Waste-derived biogas and third-generation algal biodiesel are attractive alternative fuels to
substitute fossil diesel in a diesel engine. However, using biodiesel as a pilot liquid fuel and …

Weather impact on solar farm performance: a comparative analysis of machine learning techniques

A Gopi, P Sharma, K Sudhakar, WK Ngui… - Sustainability, 2022 - mdpi.com
Forecasting the performance and energy yield of photovoltaic (PV) farms is crucial for
establishing the economic sustainability of a newly installed system. The present study aims …

[HTML][HTML] Improving the thermal efficiency of a solar flat plate collector using MWCNT-Fe3O4/water hybrid nanofluids and ensemble machine learning

Z Said, P Sharma, LS Sundar, C Li, DC Tran… - Case Studies in Thermal …, 2022 - Elsevier
The thermal performance of a flat plate solar collector using MWCNT+ Fe 3 O 4/Water hybrid
nanofluids was examined in this research. The flat plate solar collector was tested using …

Multi-attribute optimization of sustainable aviation fuel production-process from microalgae source

Z Said, TH Nguyen, P Sharma, C Li, HM Ali, SF Ahmed… - Fuel, 2022 - Elsevier
The aviation sector has been one of the most significant contributors to greenhouse gas
(GHG) emissions; there is an urgent need to transition from traditional fossil-based jet fuel to …

Effect of biomass co-digestion and application of artificial intelligence in biogas production: a review

MO Fajobi, OA Lasode, AA Adeleke… - Energy Sources, Part …, 2022 - Taylor & Francis
Energy is an essential bedrock, which plays a high impact role in the running of domestic
and industrial activities. Most energy used for these activities is majorly from conventional …

Performance characterization of a solar-powered shell and tube heat exchanger utilizing MWCNTs/water-based nanofluids: an experimental, numerical, and artificial …

Z Said, S Rahman, P Sharma, AA Hachicha… - Applied Thermal …, 2022 - Elsevier
In the present work, Multi-Wall Carbon Nanotubes (MWCNT)/water nanofluids are used to
increase the performance of a shell and tube heat exchanger (STHX) while reducing energy …