Estimation of Solar Power Generation using Ensemble Learning and Algebraic Combiners

Chattunyakit, Sarun; Srisongkram, Warunee; Sukthang, Kreeta; Yongyee, Ittiphong; Homjan, Jeerawan; Boonraksa, Promphak

doi:10.1109/ieecon56657.2023.10126640

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2024

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“…When assessing solar output in relation to the construction of new power plants, the recommended methodology-which uses the Weighted Sum Rule-achieves exceptional accuracy (99.915%). [21] 3. Proposed System By using state-of-the-art approaches and techniques, the proposed plan aims to address the deficiencies of the existing systems and make them better.…”

Section: Literature Surveymentioning

confidence: 99%

Breakeven Estimation of Solar Energy: A Machine Learning and Time Series Analysis Approach

et al. 2024

IJFMR

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This study focuses on determining the breakeven point for solar panel installations, utilizing a comprehensive dataset with daily information like sunrise, sunset, and temperature. Users input parameters such as panel area, location, current cost, and installation charges. Using advanced time series analysis, the system considers environmental factors, energy potential, and local prices to predict when cumulative income will surpass installation costs. This analysis is crucial for individuals and organizations assessing the financial viability of solar investments. By providing insights into profitability timelines, stakeholders can make informed decisions, promoting a sustainable transition to renewable energy. The study aligns with the broader goal of reducing reliance on non-renewable sources and fostering environmentally responsible practices.

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Section: Literature Surveymentioning

confidence: 99%

Breakeven Estimation of Solar Energy: A Machine Learning and Time Series Analysis Approach

et al. 2024

IJFMR

View full text Add to dashboard Cite

show abstract

Estimation of Solar Power Generation using Ensemble Learning and Algebraic Combiners

Cited by 1 publication

References 7 publications

Breakeven Estimation of Solar Energy: A Machine Learning and Time Series Analysis Approach

Breakeven Estimation of Solar Energy: A Machine Learning and Time Series Analysis Approach

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