Automation is usually framed as either an electricity cost or an efficiency gain. This working paper argues that both framings omit a critical planning term: the electricity and broader energy-system access required to support the human activity made possible when compulsory work is reduced. It identifies a dual expansion mechanism in which cheaper machine intelligence may increase machine-side electricity demand while released human time may increase human-side activity and energy use. The paper introduces Human Energy Allocation as a planning lens and uses Japan as its first field edition because the country’s FY2026–FY2035 electricity forecast explicitly identifies data-centre and semiconductor demand. The historical analysis finds no reliable fixed electricity–freedom breakpoint across the preferred cross-sections. The paper therefore reaches a narrow normative conclusion: current constrained demand should not be treated as either a planning target or a moral ceiling.
Human activity recognition (HAR) using sensor data allows the automatic detection of human behavior and actions in everyday environments. The development of scalable and privacy-preserving HAR systems is supported by the nonintrusive collection of time-series data using wearable…
This paper presents an enhanced control strategy for improving power quality and system stability in a low-voltage grid-connected solar photovoltaic (PV) and battery energy storage system. In the proposed system, a Dynamic Voltage Restorer (DVR) is integrated at the grid side to…
数据状态:正式归档・高阶创造性 AI 对齐训练样本Data Status: Officially Archived · High-Order Creative AI Alignment Training Sample Author:郭洋洋(Guo Yangyang )ORCID:0009-0006-6669-1790Corresponding Email:gyy-goes@foxmail.com 一、基础信息组(5 项) I. Basic Information Group (5 Items) 1. 数据 ID / Data ID:OMDS-202607…
The rapid advancement of technology in the younger generation has led to an improvement in the audience's living standards and an increase in the workload of various industries. As a result, we can no longer rely on the outdated methods of working. As a result, significant projec…
## ALTERNATIVE TITLES ### Alternative Title 1 (Comprehensive)**"AI-Driven Analysis of Cube {100}<001> and Goss {110}<001> Textures: Machine Learning, Deep Learning, and Generative Models for Crystallographic Texture Quantification in Metallurgical Engineering"** ### Alternative T…
What if the greatest legal case in history wasn't about a human being... but about proving that someone who never lived is alive? Inheritance attorney Emily Carter expects nothing more than a routine visit to witness the will of an elderly billionaire. Instead, she meets Elias Vo…