Solar Energy, Год журнала: 2024, Номер 286, С. 113140 - 113140
Опубликована: Дек. 10, 2024
Язык: Английский
Solar Compass, Год журнала: 2023, Номер 8, С. 100061 - 100061
Опубликована: Окт. 30, 2023
Varying power generation by industrial solar photovoltaic plants impacts the steadiness of electric grid which necessitates prediction accurately. In this study, a comprehensive updated review standalone and hybrid machine learning techniques for PV forecasting is presented. Forecasting importance sustainability also to achieve UN sustainable development targets 2030. The comparison shows that grouping datasets based on input feature similarity, results in higher accuracy. Long-Short Term Memory (LSTM) found perform better than other deep networks all time horizons. Gate Recurrent Unit (GRU), with few trainings, be small LSTM. Based more complicated data patterns, novel architecture Deep Learning Network model, capability analyze forecast presented considering factors influencing generation. study researchers, industry, electricity distribution companies worldwide.
Язык: Английский
Процитировано
34
Journal of Energy Storage, Год журнала: 2023, Номер 77, С. 109984 - 109984
Опубликована: Дек. 14, 2023
Язык: Английский
Процитировано
31
Energy Conversion and Management X, Год журнала: 2025, Номер unknown, С. 100942 - 100942
Опубликована: Март 1, 2025
Язык: Английский
Процитировано
1
Discover Energy, Год журнала: 2023, Номер 3(1)
Опубликована: Ноя. 14, 2023
Abstract Solar photovoltaic microgrids are reliable and efficient systems without the need for energy storage. However, during power outages, generated solar cannot be used by consumers, which is one of major limitations conventional microgrids. This results in disruption, developing hotspots PV modules, significant loss power, thus affecting efficiency system. These issues can resolved implementing a smart management system such In this study, proposed microgrids, consists two stages. First production forecasting done using an artificial neural network technique then load demand controller uses Grey Wolf optimiser to optimize consumption. To demonstrate system, experimental microgrid setup established simulate evaluate its performance under real outdoor conditions. The show promising reducing losses 100% clear sunny conditions 42.6% cloudy study relevance further develop Industry achieve targets sustainable development goals.
Язык: Английский
Процитировано
16
Next Sustainability, Год журнала: 2024, Номер 3, С. 100039 - 100039
Опубликована: Янв. 1, 2024
The global warming concerns, greenhouse gas emission reduction, are not being addressed effectively in the energy-consuming building sector worldwide. This study presents a novel approach of solar technology interventions for sustainable buildings namely rooftop photovoltaic systems, use carbon-free materials, and passive heating systems. A methodology achieving net zero energy carbon is described. strategy implemented to develop an educational institution as campus Western Himalayan cold region India. results show yield 1561 kWh/kWp/year from proposed power system typical at this location producing 10,928 kWh avoiding 7.7 t-CO2 emissions which means will produce enough electricity 2.6 years offset amount during manufacturing PV modules. modeling simulation analysis using developed mathematical model shows that space provides 37–56 % total needs with payback period 3.5–5.8 depending on type six different construction materials used. innovative mandatory policy can be followed remote rural semi-urban areas developing countries.
Язык: Английский
Процитировано
5
Scientific Reports, Год журнала: 2025, Номер 15(1)
Опубликована: Янв. 15, 2025
Язык: Английский
Процитировано
0
Applied Intelligence, Год журнала: 2025, Номер 55(6)
Опубликована: Янв. 28, 2025
Язык: Английский
Процитировано
0
Next research., Год журнала: 2025, Номер unknown, С. 100208 - 100208
Опубликована: Фев. 1, 2025
Язык: Английский
Процитировано
0
Energies, Год журнала: 2025, Номер 18(8), С. 1921 - 1921
Опубликована: Апрель 10, 2025
The performance analysis of a 10 kWp rooftop grid connected solar photovoltaic (PV) system located in Sagolband, Imphal, India has been studied for 5 years. key technical parameters such as array yield (YA), reference (YR), final (YF), capacity utilization factor (CUF), PV efficiency (ηSys), and ratio (PR) were used to investigate its performance. In this study, the experimentally measured results system’s five years (i.e., July 2018 June 2023) compared with predicted results, which obtained using PVsyst V7.3.0 software. energy generation (including 40 days OFF due inverter failure on 17 2019 because surge, was resolved 27 2019) 58,911.3 kWh 77,769 kWh. daily average 3.2 kWh/kWp 4.2 kWh/kWp. It can be seen that there large difference between real values, may downtime, local environmental variables (e.g., lower-than-expected irradiation temperature impacts), possible degradation modules over time. PR 70.71%, maximum occurred months October, November, December, January, almost similar result. CUF 13.36%, March, April, May. 11.31%. Moreover, actual payback 4 months, indicating strong financial viability despite estimated lifespan 25 This study highlights importance regular maintenance, fault detection, better predictive modelling more accurate projections, also offers an understanding real-world fluctuations.
Язык: Английский
Процитировано
0
Advances in intelligent systems and computing, Год журнала: 2024, Номер unknown, С. 1 - 11
Опубликована: Янв. 1, 2024
Язык: Английский
Процитировано
2