A review on machine learning forecasting growth trends and their real-time applications in different energy systems
T Ahmad, H Chen - Sustainable Cities and Society, 2020 - Elsevier
Energy forecasting and planning play an important role in energy sector development and
policy formulation. The forecasting model selection mostly based on the availability of the …
policy formulation. The forecasting model selection mostly based on the availability of the …
Different ways to improve parabolic trough solar collectors' performance over the last four decades and their applications: A comprehensive review
This paper presents an extensive review of experimental, numerical, and numerical-
experimental studies focused on compiling different aspects that lead to improved PTSC …
experimental studies focused on compiling different aspects that lead to improved PTSC …
Artificial neural network (ANN) based prediction and optimization of an organic Rankine cycle (ORC) for diesel engine waste heat recovery
This paper presents performance prediction and optimization of an organic Rankine cycle
(ORC) for diesel engine waste heat recovery based on artificial neural network (ANN). An …
(ORC) for diesel engine waste heat recovery based on artificial neural network (ANN). An …
[HTML][HTML] Energy, exergy, environmental and economic comparison of various solar thermal systems using water and Thermia Oil B base fluids, and CuO and Al2O3 …
W Huang, M Marefati - Energy Reports, 2020 - Elsevier
Recently, the use of solar thermal collectors has increased significantly. In the present work,
energy, exergy, enviroeconomic and exergoeconomic analyses of various solar thermal …
energy, exergy, enviroeconomic and exergoeconomic analyses of various solar thermal …
Multi-objective optimization of concentrated solar power plants from an energy-water-environment nexus perspective under distinct climatic conditions–Part B: environ …
M Ahmad, M Zeeshan - Journal of Cleaner Production, 2023 - Elsevier
The objective of this study is to include environmental impact in optimization of concentrated
solar power plants previously limited to techno-economic analysis only. Performance of …
solar power plants previously limited to techno-economic analysis only. Performance of …
Forecasting solar-thermal systems performance under transient operation using a data-driven machine learning approach based on the deep operator network …
Modeling and prediction of the dynamic behavior of thermal systems operating under
intermittent energy input and variable load requirements represent one of the greatest …
intermittent energy input and variable load requirements represent one of the greatest …
Multi-step ahead forecasting in electrical power system using a hybrid forecasting system
Managers and researchers have put more emphasis on electrical power system forecasting
to obtain effective management in electrical power system. However, enhancing prediction …
to obtain effective management in electrical power system. However, enhancing prediction …
Thermoeconomic investigation and multi-objective optimization of a novel efficient solar tower power plant based on supercritical Brayton cycle with inlet cooling
The solar tower power plant technology offers a promising potential for large scale power
generation, amongst various solar-based systems. To decrease the produced electricity cost …
generation, amongst various solar-based systems. To decrease the produced electricity cost …
Thermoeconomic assessment of a renewable hybrid RO/PEM electrolyzer integrated with Kalina cycle and solar dryer unit using response surface methodology (RSM …
In this research, a non-dimension model of renewable generation system encompassing a
solar-geothermal driven Proton Exchange Membrane (PEM) electrolyzer in integration with …
solar-geothermal driven Proton Exchange Membrane (PEM) electrolyzer in integration with …
Hybrid modeling for the multi-criteria decision making of energy systems: An application for geothermal district heating system
The efficiency analysis technique with output satisficing (EATWOS) is a successful tool for
determining the most efficient design for energy systems. Since EATWOS is rationally based …
determining the most efficient design for energy systems. Since EATWOS is rationally based …