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Decentralized Physical Infrastructure Networks (DePINs) for Solar Energy Forecasting

This study investigates the application of DePINs in the domain of renewable energy, specifically focusing on solar energy forecasting. The author highlights th

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Abstract

This study investigates the application of DePINs in the domain of renewable energy, specifically focusing on solar energy forecasting. The author highlights the inefficiency of centralized data aggregation for grid management and proposes a decentralized alternative where contributors are incentivized to provide local energy generation and meteorological data. By utilizing smart contracts, the paper illustrates how solar infrastructure owners can be rewarded based on the accuracy of their data, creating a self-regulating incentive system. The research methodology involves an analysis of blockchain-based data validation protocols and their suitability for high-frequency time-series data. The paper underscores that by removing middle-man aggregators, DePINs can improve the resolution and reliability of renewable energy forecasting, ultimately facilitating better grid integration. The work serves as a practical case study for how blockchain-enabled IoT can contribute to climate-friendly infrastructure by creating verifiable, decentralized data sets that are transparent and accessible to global energy participants. Authors: Shantikumar Chougule Publication: Academic Paper Publication date: 2024-01-01

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Key findings

  • DePINs offer a decentralized approach to improving the resolution of solar energy forecasts.
  • Smart contract-based incentive models can ensure higher data quality compared to centralized aggregation.
  • Blockchain provides a transparent audit trail for renewable energy generation and forecasting metrics.
  • The integration of IoT with DePINs enables localized data sourcing at lower infrastructure costs.

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Citation

Shantikumar Chougule (2024). Decentralized Physical Infrastructure Networks (DePINs) for Solar Energy Forecasting. Academic Paper. https://www.mdpi.com/2571-9394/7/4/77
Canonical knowledge ID: research:decentralized-physical-infrastructure-networks-depins-for-solar-energy-forecasting