Taxonomy research of artificial intelligence for deterministic solar power forecasting

H Wang, Y Liu, B Zhou, C Li, G Cao, N Voropai… - Energy Conversion and …, 2020 - Elsevier
With the world-wide deployment of solar energy for a sustainable and renewable future, the
stochastic and volatile nature of solar power pose significant challenges to the reliable …

A comprehensive review on Dish/Stirling concentrated solar power systems: Design, optical and geometrical analyses, thermal performance assessment, and …

ME Zayed, J Zhao, AH Elsheikh, W Li, S Sadek… - Journal of Cleaner …, 2021 - Elsevier
In this paper, the design criteria, opt-geometrical parameters, thermal performance analysis,
thermodynamic optimization, techno-economic aspects of Solar Dish Stirling Systems …

Numerical investigation of a new combined energy system includes parabolic dish solar collector, Stirling engine and thermoelectric device

M Mehrpooya, N Ghadimi, M Marefati… - … Journal of Energy …, 2021 - Wiley Online Library
According to new findings, the use of clean energy sources such as solar energy to supply
energy (both electricity and heat) to human societies is essential. On the other hand …

Artificial intelligence for sustainable energy: A contextual topic modeling and content analysis

T Saheb, M Dehghani, T Saheb - Sustainable Computing: Informatics and …, 2022 - Elsevier
Parallel to the rising debates over sustainable energy and artificial intelligence solutions, the
world is currently discussing the ethics of artificial intelligence and its possible negative …

[HTML][HTML] Artificial intelligence application in a renewable energy-driven desalination system: A critical review

Q He, H Zheng, X Ma, L Wang, H Kong, Z Zhu - Energy and AI, 2022 - Elsevier
Artificial intelligence, an emerging technology, widely exists in the field of engineering
science and technology. Due to its high efficiency and precision, artificial intelligence is …

Multi-scale solar radiation and photovoltaic power forecasting with machine learning algorithms in urban environment: A state-of-the-art review

J Tian, R Ooka, D Lee - Journal of Cleaner Production, 2023 - Elsevier
Solar energy has been rapidly utilized in urban environments owing to its significant
potential to fulfill the energy demand. The precise forecasting of solar energy, including solar …

Optimization of ultrasonic-excited double-pipe heat exchanger with machine learning and PSO

M Esfandyari, AA Delouei, A Jalai - International Communications in Heat …, 2023 - Elsevier
Two intelligent optimization methods, artificial neural networks (ANNs) and adaptive neuro-
fuzzy inference system (ANFIS), with particle swarm optimization (PSO), were employed in …

Design, commissioning and operation of a large-scale solar linear Fresnel system integrated with evacuated compound receiver: Field testing, thermodynamic …

S Rehman, ME Zayed, K Irshad, AS Menesy, KM Kotb… - Solar Energy, 2024 - Elsevier
The advancement of solar linear Fresnel reflector (LFR) systems as a viable technology for
green heat and power generation has recently garnered significant attention from both …

Predicting the performance of solar dish Stirling power plant using a hybrid random vector functional link/chimp optimization model

ME Zayed, J Zhao, W Li, AH Elsheikh, M Abd Elaziz… - Solar Energy, 2021 - Elsevier
Hybrid artificial intelligence models have become promising tools for soft computing and
computational intelligence, as they can deal with complicated sustainable systems such as …

[HTML][HTML] A review on design parameters and specifications of parabolic solar dish Stirling systems and their applications

MZ Malik, PH Shaikh, S Zhang, AA Lashari, ZH Leghari… - Energy Reports, 2022 - Elsevier
The ever-increasing energy demand around the world has attracted research efforts to
transform renewable energy sources efficiently. This study reports the design parameters of …