Rewiring Resilience: AI for Climate-Adaptive Power Grids in Asia-Pacific

This report by Ember examines the dual challenge facing Asia-Pacific power grids: managing the variability introduced by rapid renewable energy expansion and adapting to increasing climate volatility. It argues for a shift from reactive asset-level hardening to systemic adaptation, proposing that artificial intelligence (AI) can serve as a strategic coordination layer to integrate fragmented data, link siloed analytical models, and support complex decision-making to ensure grid reliability in a warming climate.

• The Asia-Pacific region is experiencing the world's fastest growth in renewable capacity, primarily driven by wind and solar. In 2024, the region produced nearly 50% of global renewable electricity, and this share is expected to exceed 60% by 2050 under the IEA's Stated Policies Scenario. Wind and solar generation are projected to grow from approximately 3,000 TWh in 2025 to over 20,000 TWh by 2050, accounting for more than 85% of the region's total renewable generation by mid-century.
• Asia-Pacific is the primary driver of global electricity demand growth, consuming over half of the world's electricity in 2024 and expected to drive roughly 60% of all demand growth through 2050. This growth is fueled by rising affluence, deepening industrialization in South and Southeast Asia, and the electrification of buildings, transport, and industry.
• Climate change is introducing an external layer of variability that threatens grid reliability, even if global warming is limited to 1.5°C. Extreme heatwaves, droughts, and floods are becoming more frequent and intense, creating operational constraints such as increased cooling demand, reduced thermal power plant capacity due to derating, and hydropower constraints from low reservoir levels.
• Current grid responses are evolving from reactive 'repair and recovery' and asset-level 'infrastructure hardening' toward systemic adaptation. While hardening involves reinforcing individual components (e.g., elevating substations or reinforcing towers), systemic adaptation treats the power grid as part of an interdependent network of transport, water, and telecommunications to prevent cascading failures.
• AI can act as a strategic enabler for systemic adaptation by providing three core capabilities: data fusion to integrate fragmented and diverse datasets; analytical choreography to link siloed sectoral models (e.g., climate, hydrology, and energy); and capacity augmentation to support decision-making under high complexity and uncertainty.
• Significant investments in grid flexibility are already occurring in the region. China invested over 600 billion RMB (approx. $85 billion) in its grid in 2024, with plans for 4 trillion RMB (approx. $574 billion) in upgrades through 2030. China's battery storage capacity grew by 37 GW/91 GWh in 2024, exceeding the combined additions of Europe and the United States.

APA

Yang, M., Shi, X., Xu, X., Zhang, W., & Lo, D. (2026). Rewiring Resilience: AI for Climate-Adaptive Power Grids in Asia-Pacific. Ember. https://ember-energy.org/app/uploads/2026/05/Rewiring-Resilience_-Managing-Variability-in-Asia-Pacific-Power-Grids-1.pdf

Chicago

Yang, Muyi, Xunpeng Shi, Xiwei Xu, Wenjie Zhang, and David Lo. Rewiring Resilience: AI for Climate-Adaptive Power Grids in Asia-Pacific. Ember, 2026. https://ember-energy.org/app/uploads/2026/05/Rewiring-Resilience_-Managing-Variability-in-Asia-Pacific-Power-Grids-1.pdf.

Wikipedia

{{cite report |last1=Yang |first1=Muyi |last2=Shi |first2=Xunpeng |last3=Xu |first3=Xiwei |last4=Zhang |first4=Wenjie |last5=Lo |first5=David |title=Rewiring Resilience: AI for Climate-Adaptive Power Grids in Asia-Pacific |publisher=Ember |date=21 May 2026 |url=https://ember-energy.org/app/uploads/2026/05/Rewiring-Resilience_-Managing-Variability-in-Asia-Pacific-Power-Grids-1.pdf |access-date=17 August 2026 |via=Climate Insights Directory}}

BibTeX

@techreport{yang2026rewiring, author = {Yang, Muyi and Shi, Xunpeng and Xu, Xiwei and Zhang, Wenjie and Lo, David}, title = {{Rewiring Resilience: AI for Climate-Adaptive Power Grids in Asia-Pacific}}, institution = {Ember}, year = {2026}, month = may, url = {https://ember-energy.org/app/uploads/2026/05/Rewiring-Resilience_-Managing-Variability-in-Asia-Pacific-Power-Grids-1.pdf}, urldate = {2026-08-17}, note = {Indexed by Climate Insights Directory} }