Methods of forecasting electric energy consumption: A literature review

RV Klyuev, ID Morgoev, AD Morgoeva, OA Gavrina… - Energies, 2022 - mdpi.com
Balancing the production and consumption of electricity is an urgent task. Its implementation
largely depends on the means and methods of planning electricity production. Forecasting is …

Review of global research advances towards net-zero emissions buildings

E Ohene, APC Chan, A Darko - Energy and buildings, 2022 - Elsevier
Net-zero emissions buildings (NZEBs) are essential to reducing greenhouse gas emissions
and tackling climate change. Several studies have been conducted on NZEBs. However, a …

Applied single and hybrid solar energy techniques for building energy consumption and thermal comfort: A comprehensive review

I Bosu, H Mahmoud, S Ookawara, H Hassan - Solar Energy, 2023 - Elsevier
This paper reviews applied single and hybrid solar energy-saving techniques with emphasis
on solar chimney, Trombe wall, and photovoltaics for building energy consumption and …

Can artificial intelligence improve the energy efficiency of manufacturing companies? Evidence from China

J Liu, Y Qian, Y Yang, Z Yang - International Journal of Environmental …, 2022 - mdpi.com
Improving energy efficiency is an important way to achieve low-carbon economic
development, a common goal of most nations. Based on the comprehensive survey data of …

[HTML][HTML] A 3D indicator for guiding AI applications in the energy sector

H Quest, M Cauz, F Heymann, C Rod, L Perret, C Ballif… - Energy and AI, 2022 - Elsevier
Abstract The utilisation of Artificial Intelligence (AI) applications in the energy sector is
gaining momentum, with increasingly intensive search for suitable, high-quality and …

[HTML][HTML] Perceived benefits of automation and artificial intelligence in the AEC sector: An interpretive structural modeling approach

AO Onososen, I Musonda - Frontiers in built environment, 2022 - frontiersin.org
Increasing demand for infrastructure amidst the surge in the urbanisation of cities and newly
emerging commercial nerves has spurred the need to reinvent and rethink traditional …

Harnessing the Power of Artificial Intelligence for Collaborative Energy Optimization Platforms

A Stecyk, I Miciuła - Energies, 2023 - mdpi.com
This scientific paper highlights the critical significance of energy in driving sustainable
development and explores the transformative potential of Artificial Intelligence (AI) tools in …

RETRACTED ARTICLE: Analysis of Influence Factors of Marine Fishery Industry Structure Optimization on Carbon Emission Efficiency Based on Depth Feedforward …

D Chen - Journal of Experimental Nanoscience, 2023 - Taylor & Francis
Abstract We, the Editor and Publisher of the Journal of Experimental Nanoscience, have
retracted the following article, which is part of the Special Issue titled Adaptive …

I4. 2-GiM: A Novel Green Intelligent Manufacturing Framework for Net Zero

H Tieng, TC Ou, TH Tsai, YY Li… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Industry 4.0 is accelerating, with manufacturing enterprises embracing digital transformation
and intelligent manufacturing (iM) to enhance competitiveness. Manufacturing enterprises …

[HTML][HTML] Прогнозирование потребления электрической энергии промышленным предприятием с помощью методов машинного обучения

АД Моргоева, ИД Моргоев, РВ Клюев… - Известия Томского …, 2022 - cyberleninka.ru
Актуальность исследования заключается в необходимости развития
энергосберегающих подходов за счет применения средств интеллектуального анализа …