Biodiesel emissions: a state-of-the-art review on health and environmental impacts

A Aljaafari, IMR Fattah, MI Jahirul, Y Gu, TMI Mahlia… - Energies, 2022 - mdpi.com
Biodiesel is an alternative source of fuel for various automotive applications. Because of the
increasing demand for energy and the scarcity of fossil fuels, researchers have turned their …

Internet of things (IOT) based machine learning techniques for wind energy harvesting

R Kalpana, SV, R Lokanadham… - Electric Power …, 2023 - Taylor & Francis
Abstract The Internet of Things (IoT) is a significant avenue for research in renewable
energy, particularly in enhancing windmill performance, reducing wind energy costs, and …

Forecasting short term wind energy generation using machine learning

N Shabbir, R AhmadiAhangar, L Kütt… - 2019 IEEE 60th …, 2019 - ieeexplore.ieee.org
Wind power is very different from other sources due to its volatile and stochastic nature. The
forecasting of wind energy generation is a very important aspect for the reliability and …

[PDF][PDF] Short-term wind energy forecasting using deep learning-based predictive analytics

N Shabbir, L Kütt, M Jawad, O Husev… - Comput. Mater …, 2022 - researchgate.net
Wind energy is featured by instability due to a number of factors, such as weather, season,
time of the day, climatic area and so on. Furthermore, instability in the generation of wind …

Maximum power point tracking with modified incremental conductance technique in grid-connected PV array

MAB Siddique, MA Khan, A Asad… - … in Intelligent Systems …, 2020 - ieeexplore.ieee.org
In recent years, the demand for renewable energy sources has increased rapidly claiming
their due share in the growing energy demands. Photovoltaic (PV) technology is currently …

Wind energy forecasting using recurrent neural networks

N Shabbir, L Kütt, M Jawad… - 2019 Big Data …, 2019 - ieeexplore.ieee.org
Wind energy forecasting is a very challenging task as it involves many variable factors from
wind speed, weather season, location and many other factors. Its accurate prediction can be …

[PDF][PDF] Design and development of an irrigation mobile robot

A Hassan, RM Asif, AU Rehman… - … Journal of Robotics …, 2021 - pdfs.semanticscholar.org
Water plays a significant role among other existing natural resources. The daily demand for
water supplies is increasingly on the rise as the population grows. To minimize the …

Forecasting of energy consumption and production using recurrent neural networks

N Shabbir, L Kutt, M Jawad, MN Iqbal… - Advances in Electrical …, 2020 - advances.vsb.cz
Energy forecasting for both consumption and production is a challenging task as it involves
many variable factors. It is necessary to calculate the actual production of energy and its …

Modified fuzzy logic MPPT for PV system under severe climatic profiles

RM Asif, MAB Siddique, AU Rehman… - Pakistan Journal of …, 2021 - journals.uol.edu.pk
Photovoltaic energy is considered highly favorable due to the environment's pleasant
nature. After analyzing different maximum power point tracking (MPPT) algorithms, an …

[HTML][HTML] Ultra-Short-Term Wind Power Forecasting in Complex Terrain: A Physics-Based Approach

D Michos, F Catthoor, D Foussekis, A Kazantzidis - Energies, 2024 - mdpi.com
This paper proposes a method based on Computational Fluid Dynamics (CFD) and the
detection of Wind Energy Extraction Latency for a given wind turbine (WT) designed for ultra …