Taiwan Power Company (Taipower)

Headlines · 2

1. Oct 15
   Taipower proposes 'fiber for power' siting strategy for AI data centers

   At the 2026 Taiwan International Smart Energy Week, Taiwan Power Company (Taipower) presented a "fiber for power" strategy under its "integrated grid" theme, arguing that AI data centers (AIDCs) should be sited near generation and send data over long-distance fiber instead of transmitting large amounts of electricity over long distances, reducing transmission losses and pressure to build new power infrastructure. Taipower splits AI-era demand into "making AI" — wafer fabrication, memory, advanced packaging and high-end servers, with semiconductor-industry electricity use projected by Taipower to rise from about 52 billion kWh in 2026 to 110 billion kWh in 2035 — and "running AI," meaning AIDCs supporting model training and inference. Taipower data put approved AIDC supply at 1,441MW, including roughly 750MW added in 2026, more than half the cumulative total, and likened AIDCs to a shot put for their dense, concentrated load on regional grids.

   iThome 台湾 · 🔥 0
2. Oct 14
   2026 TIE expo draws 50,000+ as AI moves beyond chat into health, fire safety and energy

   The 2026 Taiwan Innotech Expo (TIE) closed on Sept. 19 after a three-day run that drew more than 50,000 visits from 64 countries, organized by 12 government ministries under the theme of AI-enabled innovation and sustainability. Exhibits included a local biotech company's automated platform for preclinical anti-cancer drug testing, which rebuilds a tumor's 3D structure, immune response and surrounding environment on a chip; a self-powered AIoT fire-safety patch from National Cheng Kung University that harvests a device's own temperature differences to power AI overheating alerts; and an Institute for Information Industry system for satellite-communication cyber-threat simulation and AI monitoring of jamming, eavesdropping and unencrypted data. On energy and weather, Taipower presented an island energy-storage dispatch system combining quantum neural networks with meteorological big data, while National Central University's TPTRS uses weather-radar data to reconstruct 3D thermodynamic fields over complex terrain — a technique its team calls the only one directly applicable to such terrain.

   科技新报 · 🔥 0

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