Due to significant random volatility of photovoltaic power generation, a short-term prediction method for photovoltaic power generation based on Chaos Whale Algorithm (WOACO) optimized Least Squares Support Vector Machine (LSSVM) was designed to further improve prediction accurac...
Open access
Research Article10.9734/jenrr/2025/v17i8451
Aims: To identify the most significant determinants that impact the cost of Stealth Monopole Tower projects in Ghana. Study Design: Both Quantitative and Qualitative Study. Place and Duration of Study: The Department of Electrical and Electronic Engineering at University of Mines...
Open access
Research Article10.9734/jenrr/2025/v17i8449
Grey system models (GMs) have achieved considerable progress in recent decades, yet their effectiveness is often limited when dealing with nonlinear data. In contrast, machine learning (ML) models can capture complex nonlinear relationships but generally require large datasets an...
Open access
Research Article10.9734/jenrr/2025/v17i8450
This study summarizes research conducted over the past decade on the thermal decomposition kinetics of various biomass residues aimed at energy recovery. The focus is on studies employing thermogravimetric analysis (TGA), which remains a central tool for determining kinetic param...
Open access
Research Article10.9734/jenrr/2025/v17i8448
This study investigates the effects of ultrasonic power and temperature on fabric drying kinetics, energy consumption, and heat and mass transfer coefficients experimentally. The results indicated that the ultrasonic power and temperature could significantly improve the drying ef...
Open access
Research Article10.9734/jenrr/2025/v17i8447
The breakdown voltage (BDV) and the physicochemical properties of nanofluids based on African Canarium (Canarium schweinfurthii) and African plum (Dacryodes edulis) were evaluated to ascertain their suitability as transformer oils. The fruits were purchased from the local markets...
Open access
Research Article10.9734/jenrr/2025/v17i8446
Akinde Michael Ogunmolu, Oluwaseun Oladeji Olaniyi, Anuoluwapo Deborah Popoola, Anthony Obulor Olisa & Oluwatobi Bamigbade·Journal of Energy Research and Reviews·2025
This research develops and validates autonomous artificial intelligence agents for fault detection and self-healing in smart manufacturing systems within the context of Industry 4.0, addressing critical challenges in operational efficiency and reliability. Motivated by the need t...
Open access
Research Article10.9734/jenrr/2025/v17i8445
Aim: This research investigates cottonseed oil as a renewable lubricant for internal combustion engines, highlighting its high biodegradable properties, favourable emission profile, and wear-reduction potential compared to conventional mineral oils. Study Design, Place and Durati...
Open access
Research Article10.9734/jenrr/2025/v17i7443
The increasing global demand for sustainable energy and environmental concerns have necessitated the exploration of renewable alternatives to fossil fuels. Biodiesel, derived from vegetable oils and animal fats, presents a viable substitute for petroleum diesel, offering reduced...
Open access
Research Article10.9734/jenrr/2025/v17i8444
Oluwatobi Bamigbade, Emonena Patrick Obrik-Uloho, Faith Hauwa Oluwapamilerin Kolo, Akinde Michael Ogunmolu & Temilade Oluwatoyin Adesokan-Imran·Journal of Energy Research and Reviews·2025
Zero-carbon grids increasingly rely on pervasive sensing and AI-driven automation, yet most learning engines still assume clean, synchronous data and bolt-on security tools. We introduce a six-layer, data-centric AI framework that (i) raises data quality before inference, (ii) fu...
Open access
Research Article10.9734/jenrr/2025/v17i7442