Policy Document · 2026-05-01
24/7 Renewables: The Economics of Firm Solar and Wind
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Policy Document
2026 Electricity Statement of Opportunities for the National Electricity Market
Australian Energy Market Operator (AEMO) · 2026-08-01
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Australian Energy Market Operator (AEMO). 2026-08-01. 2026 Electricity Statement of Opportunities for the National Electricity Market. https://www.aemo.com.au/-/media/files/electricity/nem/planning_and_forecasting/nem_esoo/2026/2026-electricity-statement-of-opportunities.pdf?rev=4f2e73fbd906456288198fdbc24b335a&sc_lang=en (AI & Environment Resource Hub; record report-389; collection snapshot 2026-10-04).
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Source sheet: Policy Document · Row 393 · Original ID: report-389.
These are policy resources, not a verified register of enacted laws. Legal status and jurisdiction must be checked at source. Source link reachable · checked 2026-09-28. Metadata not yet corroborated. The import date is not the original date added.
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Related through shared environmental topics
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Shared topics: Energy and electricity
Shared topics: Energy and electricity
Scientific Paper · 2026-09-15
A Strategic Roadmap for Sustainable Data Center Deployment
This article proposes a five-step state policy roadmap for data center development: conduct environmental and community impact studies, use the findings in siting decisions, reassess incentives, require large facilities to pair with off-grid clean energy and storage, and mandate community-benefit sharing. It focuses on protecting grid reliability, electricity affordability, environmental integrity, and host communities.
Shared topics: Energy and electricity
Scientific Paper · 2025-05-26
A Study on Energy Consumption in AI-Driven Medical Image Segmentation
This study evaluates the energy consumption of AI models used in medical image segmentation and finds that Depthwise Convolution with Mixed Precision offers the most energy-efficient training configuration, highlighting the need for GPU-aware, sustainable AI practices.
Shared topics: Energy and electricity
Scientific Paper · 2023-05-23
A Systematic Review of Green AI
A systematic review of 98 studies shows that Green AI research has matured rapidly since 2020, focusing on energy-efficient training, model benchmarking, and footprint monitoring though real-world tool adoption remains limited.