Skip to content

Energetika va resurslar samaradorligi: Muqobil energiya va xavfsizlik

Oct 2026 · Zenodo (CERN European Organization for Nuclear Research)
Renewable energy and sustainable power systems

Abstract

Ushbu maqolada energetika va resurslar samaradorligini oshirishda muqobil energiya manbalari hamda innovatsion texnologiyalarning o'rni yoritilgan. Quyosh, shamol, gidroenergetika va biomassa kabi qayta tiklanuvchi energiya manbalarining afzalliklari, ularning ekologik va iqtisodiy samaradorligi tahlil qilingan. Shuningdek, aqlli elektr tarmoqlari (Smart Grid), energiya saqlash tizimlari, sun'iy intellekt va raqamli texnologiyalarning energetika sohasidagi ahamiyati ko'rsatib berilgan. Maqolada O'zbekistonda muqobil energetikani rivojlantirish, energiya samaradorligini oshirish va zamonaviy texnologiyalarni joriy etish bo'yicha amalga oshirilayotgan islohotlar haqida ham ma'lumot berilgan. Tadqiqot natijalari qayta tiklanuvchi energiya manbalaridan foydalanish energiya xavfsizligini ta'minlash, tabiiy resurslarni tejash hamda ekologik barqaror rivojlanishga xizmat qilishini tasdiqlaydi. Energy and resource efficiency: alternative energy and security This article examines the role of alternative energy sources and innovative technologies in improving energy and resource efficiency. The advantages of renewable energy sources such as solar, wind, hydropower, and biomass, as well as their environmental and economic benefits, are analyzed. The study also highlights the importance of Smart Grid systems, energy storage technologies, artificial intelligence, and digital solutions in the energy sector. Furthermore, the article provides information on the reforms being implemented in Uzbekistan to develop renewable energy, increase energy efficiency, and introduce modern technologies. The findings demonstrate that the use of renewable energy sources contributes to energy security, conservation of natural resources, and sustainable environmental development. В данной статье рассматривается роль альтернативных источников энергии и инновационных технологий в повышении энергоэффективности и рациональном использовании ресурсов. Проанализированы преимущества возобновляемых источников энергии, таких как солнечная, ветровая, гидроэнергетика и биомасса, а также их экологическая и экономическая эффективность. Особое внимание уделено значению интеллектуальных электрических сетей (Smart Grid), систем накопления энергии, искусственного интеллекта и цифровых технологий в энергетической отрасли. Кроме того, представлены сведения о проводимых в Узбекистане реформах, направленных на развитие возобновляемой энергетики, повышение энергоэффективности и внедрение современных технологий. Результаты исследования показывают, что использование возобновляемых источников энергии способствует обеспечению энергетической безопасности, сохранению природных ресурсов и устойчивому экологическому развитию.

View source

Similar papers

#artificial intelligence Conference Open access Jun 2018

Gibson Env: Real-World Perception for Embodied Agents

This paper investigates developing real-world perception for active agents, proposes Gibson Environment for this purpose, and showcases a set of perceptual tasks learned therein.

F. Xia, Amir Zamir, Zhi-Yang He et al. · 1,069 citations · ⚡112
#artificial intelligence Open access May 2023

Evaluating the Performance of Large Language Models on GAOKAO Benchmark

GAOKAO-Bench is introduced, an intuitive benchmark that employs questions from the Chinese GAOKAO examination as test samples, including both subjective and objective questions that contribute a robust evaluation benchmark for future large language models and offers valuable insights into the advantages and limitations...

Xiaotian Zhang, Chun-yan Li, Yi Zong et al. · 216 citations · ⚡17

KTO: Model Alignment as Prospect Theoretic Optimization

This work proposes a HALO that directly maximizes the utility of generations instead of maximizing the log-likelihood of preferences, and suggests that the best loss depends on the inductive biases most appropriate for a given setting, an oft-overlooked consideration.

Kawin Ethayarajh, Winnie Xu, Niklas Muennighoff et al. · 195 citations · ⚡28
#artificial intelligence Open access Jul 2024

Gender, Race, and Intersectional Bias in Resume Screening via Language Model Retrieval

This work investigates the possibilities of using LLMs in a resume screening setting via a document retrieval framework that simulates job candidate selection and finds that the MTEs are biased, significantly favoring White-associated names in 85% of cases and female-associated names in only 11.1% of cases.

Kyra Wilson, Aylin Caliskan · 131 citations · ⚡8
#artificial intelligence Review Nov 2024

How to Build a Quantum Supercomputer: Scaling from Hundreds to Millions of Qubits

This work shows that orders of magnitude enhancement in performance could be obtained by a combination of hardware improvements and tight quantum-HPC integration and introduces high-performance architectures for quantum-probabilistic computing with custom-designed accelerators to tackle today's industry-scale classical...

Masoud Mohseni, Artur Scherer, K. Johnson et al. · 121 citations · ⚡9

Related blog posts

Hugging Face Blog Nov 10, 2026

Decision Models in Hugging Face

We’re on a journey to advance and democratize artificial intelligence through open source and open science.

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.