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Risks of AI integration and policy recommendations
This report by Ember examines the risks associated with integrating artificial intelligence (AI) into the power sector, specifically within the ASEAN region. It details technical, operational, and governance challenges—including data limitations, cybersecurity vulnerabilities, and regulatory gaps—while providing policy recommendations to ensure a safe and efficient energy transition.
AI-generated
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Document type: Report
LET’S GET ORGANIZED! LONG-TERM MARKET DESIGN FOR A HIGH PENETRATION GRID
This research paper proposes the creation of Organized Long-Term Markets (OLTMs) to support the rapid deployment of clean energy resources in restructured wholesale electricity markets. The author argues that current market designs—including energy-only, capacity, and hybrid models—fail to provide the long-term investment signals and liquidity needed for grids with high penetration of variable renewable energy (VRE). The proposed OLTM acts as a derivative market that standardizes long-term energy delivery contracts, allowing producers to recover capital expenditures and consumers to hedge against price volatility while remaining linked to real-time spot market pricing.
AI-generated
This summary is written by a language model reading the source document. It is not the publisher's words and is not a substitute for the original.
Document type: Research paper