Integrated energy informatics technology on microalgae-based wastewater treatment to bioenergy production: A review

Journal of Environmental Management, Год журнала: 2024, Номер 368, С. 122085 - 122085

Опубликована: Авг. 14, 2024

Язык: Английский

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Ultra-short-term wind power prediction model based on fixed scale dual mode decomposition and deep learning networks

Engineering Applications of Artificial Intelligence, Год журнала: 2024, Номер 133, С. 108501 - 108501

Опубликована: Апрель 27, 2024

Язык: Английский

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A universal tool for estimating monthly solar radiation on tilted surfaces from horizontal measurements: A machine learning approach

Energy Conversion and Management, Год журнала: 2024, Номер 314, С. 118703 - 118703

Опубликована: Июнь 20, 2024

Язык: Английский

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Feasible synergy between hybrid solar PV and wind system for energy supply of a green building in Kota (India): A case study using iHOGA

Energy Conversion and Management, Год журнала: 2024, Номер 315, С. 118783 - 118783

Опубликована: Июль 10, 2024

Язык: Английский

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Are Better Combinations of Ders More Profitable? Combinatorial Optimization for Aggregation of Ders in Wholesale Electricity Markets

Опубликована: Янв. 1, 2025

Язык: Английский

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Improved sizing approach for hybrid energy system based on machine learning paradigm

Computers & Electrical Engineering, Год журнала: 2025, Номер 123, С. 110217 - 110217

Опубликована: Март 11, 2025

Язык: Английский

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The First Step Towards Energy Self-Sufficiency in Smart Cities: The Present and Future of Virtual Power Plant Technology

Building and Environment, Год журнала: 2025, Номер unknown, С. 112920 - 112920

Опубликована: Март 1, 2025

Язык: Английский

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Solar and wind predictions using evolution differentiated modular and LSTM long-term modelling based on pattern correlations

Research in Mathematics, Год журнала: 2025, Номер 12(1)

Опубликована: Март 27, 2025

Язык: Английский

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Smart Attention (SAB-LSTM): A Revolutionary Model for Advanced Solar Energy Forecasting

E3S Web of Conferences, Год журнала: 2025, Номер 624, С. 04004 - 04004

Опубликована: Янв. 1, 2025

Solar power forecasting has a significant relevance to the optimization of energy management and maintaining reliability systems against growing use renewable sources globally. Accurate solar generation would therefore allow for an increasingly effective integration into grid, supporting transition toward sustainable solutions. Most models suffer from following crucial defects: weak representation temporal dependency, failure generalize on different weather conditions, poor handling nonlinear relationships in data. In this respect, paper proposes new Smart Attention Bi-LSTM model that integrates strengths Bidirectional Long Short-Term Memory network with attention mechanisms. The SAB-LSTM further improves performance prediction by enabling dynamically focus most valuable historical data points hence overcome traditional methods forecasting. This method significantly learning complex patterns maintains high accuracy under variable seasonal conditions. was put severe test rich dataset Kaggle, including various across seasons. contribution research covers not only development methodologies like sector but also sheds light how deep techniques are important robustness forecasts.

Язык: Английский

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Enhanced ionic conductivity and chemical stability of anion exchange membranes prepared from ether-free poly(biphenyl alkylene piperidinium) with alkyl spacers for water electrolysis

Journal of Materials Chemistry A, Год журнала: 2025, Номер unknown

Опубликована: Янв. 1, 2025

Poly(biphenyl alkylene piperidinium) anion exchange membranes with mobile alkyl spacers simultaneously achieve high hydroxide conductivity, robust mechanical strength, and excellent alkaline stability for efficient durable water electrolysis.

Язык: Английский

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