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Wei Zhuang, Zhiheng Li, Ying Wang, Qingyu Xi and Min Xia
Predicting photovoltaic (PV) power generation is a crucial task in the field of clean energy. Achieving high-accuracy PV power prediction requires addressing two challenges in current deep learning methods: (1) In photovoltaic power generation prediction...
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Kaijie Huang, Chengjun Qiu, Wenbin Xie, Wei Qu, Yuan Zhuang, Kaixuan Chen, Jiaqi Yan, Gao Huang, Chao Zhang and Jianfeng Hao
The paper presents a wind?photovoltaic-thermal hybrid-driven two-stage humidification and dehumidification desalination system for remote island regions lacking access to electricity and freshwater resources. By conducting an analysis of the wind and sol...
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Pavel V. Matrenin, Valeriy V. Gamaley, Alexandra I. Khalyasmaa and Alina I. Stepanova
Forecasting the generation of solar power plants (SPPs) requires taking into account meteorological parameters that influence the difference between the solar irradiance at the top of the atmosphere calculated with high accuracy and the solar irradiance ...
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Siyuan Chen, Zao Zhang, Cheng Wang, Lifeng Tan, Huanjie Liu, Hong Yuan, Rui Zhang and Rui Hu
Photovoltaic (PV) power generation is emerging as a key aspect of the global shift towards a more sustainable energy mix. Nevertheless, existing assessment models predominantly concentrate on predicting the overall capacity of PV power generation, often ...
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Janis Kramens, Megija Valtere, Guntars Krigers, Vladimirs Kirsanovs and Dagnija Blumberga
The EU?s energy targets are to achieve at least 32% renewables in the energy mix by 2030. Part of the solution is strengthening consumer rights by empowering individuals to generate their own electricity. The aim of this study was to identify the most su...
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Krzysztof Tomczuk, Piotr Tomczuk and Marcin Chrzanowicz
A properly designed and manufactured autonomous lighting system has an impact on reducing the amount of conflicts between pedestrians and drivers. For pedestrian crossings located outside of urban areas, one of the utilized solutions is PV installations ...
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Yin Tang, Lizhuo Zhang, Dan Huang, Sha Yang and Yingchun Kuang
In view of the current problems of complex models and insufficient data processing in ultra-short-term prediction of photovoltaic power generation, this paper proposes a photovoltaic power ultra-short-term prediction model named HPO-KNN-SRU, based on a S...
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Süleyman Emre Eyimaya and Necmi Altin
Microgrids usually employ distributed energy resources such as wind turbines, solar photovoltaic modules, etc. When multiple distributed generation resources with different features are used in microgrids, managing these resources becomes an important pr...
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Uchechi Ukaegbu, Lagouge Tartibu and C. W. Lim
Energy demand and consumption have, in recent times, witnessed a rapid proliferation influenced by technological developments, increased population and economic growth. This has fuelled research trends in the domain of energy management employing tri-gen...
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Jungki Hong, Jaewan Park, Seongmi Kim, Cheolsoo Lim and Minsuk Kong
In this study, the energy consumption and generation characteristics, the operation status of a photovoltaic (PV) system, and the energy balance of a net-zero energy building (nZEB) in South Korea were analyzed based on the data collected over a 10-year ...
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