Intelligent based hybrid renewable energy resources forecasting and real time power demand management system for resilient energy systems
The rapid growth of hybrid renewable Distributed Energy Resources (DERs) generation
possess various challenges with inaccurate forecast models in stochastic power systems …
possess various challenges with inaccurate forecast models in stochastic power systems …
Synchronization of water-energy consumption in residential and non-residential buildings during COVID-19
S Cai, Z Gou - Building Research & Information, 2023 - Taylor & Francis
ABSTRACT COVID-19 has made working from home (WFH) a widely prevalent mode of
work, resulting in highly complex changes of energy and water consumption in buildings. To …
work, resulting in highly complex changes of energy and water consumption in buildings. To …
Prediction enhancement for surface water sodium adsorption ratio using limited inputs: Implementation of hybridized stacked ensemble model with feature selection …
Abstract The Sodium Adsorption Ratio (SAR) is a widely used variable in water quality
research, particularly in agriculture and environmental studies. In many cases, the key …
research, particularly in agriculture and environmental studies. In many cases, the key …
Hydrogen energy storage technology selection through a cutting-edge probabilistic linguistic decision framework
As a viable alternative to traditional energy forms, hydrogen energy proves effective owing to
its feasible cost and reduced pollution. The storage of such a renewable energy source is …
its feasible cost and reduced pollution. The storage of such a renewable energy source is …
Development of forecasting of monthly SAR time series in river systems: A multivariate data decomposition-based hybrid approach
X Zhou, Y Leng, M Salarijazi, I Ahmadianfar… - Process Safety and …, 2024 - Elsevier
The sodium adsorption ratio (SAR) is a critical variable in assessing the quality of water
resources, and accurately forecasting its time series is operationally valuable. This study …
resources, and accurately forecasting its time series is operationally valuable. This study …
Assessment of the stand structure of protective forest monitoring based on statistical models in Irano-Turanian phytogeographical regions of Iran
M Zandebasiri, K Sagheb‑Talebi… - Environmental …, 2024 - Springer
One of the most important data that forest management planners need for effective decisions
is the data related to the forest structure. The aim of the study is to investigate and analyse …
is the data related to the forest structure. The aim of the study is to investigate and analyse …