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Novel Virtual Power Purchase Agreement Trading Algorithm Toward 100% Renewable Energy
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Outgoing claims: the papers this work cites, builds on, or argues with.
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Multistep energy consumption forecasting by metaheuristic optimization of time‐series analysis and machine learning
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Feature extraction from unequal length heterogeneous EHR time series via dynamic time warping and tensor decomposition
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A k-means method for trends of time series
inferredcites →https://doi.org/10.1016/j.ejor.2024.08.002openalex-snapshot
Physical vs Virtual corporate power purchase agreements: Meeting renewable targets amid demand and price uncertainty
inferredcites →https://doi.org/10.1016/j.eneco.2022.105980openalex-snapshot
Mitigating financial risk of corporate power purchase agreements via portfolio optimization
inferredcites →https://doi.org/10.1016/j.energy.2021.122702openalex-snapshot
Time-frequency connectedness among clean-energy stocks and fossil fuel markets: Comparison between financial, oil and pandemic crisis
inferredcites →https://doi.org/10.1016/j.energy.2024.131038openalex-snapshot
Mitigating long-term financial risk for large customers via a hybrid procurement strategy considering power purchase agreements
inferredcites →https://doi.org/10.1016/j.net.2022.03.021openalex-snapshot
Examination of excess electricity generation patterns in South Korea under the renewable initiative for 2030
inferredcites →https://doi.org/10.1109/ccwc.2019.8666481openalex-snapshot
Forecasting of total daily solar energy generation using ARIMA: A case study
inferredcites →https://doi.org/10.12691/ajer-11-3-1openalex-snapshot
Achieving Corporate Climate Commitments: Risks and Benefits of Using Virtual Power Purchase Agreements and Unbundled Renewable Energy Certificates
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