Energy‐saving technologies and energy efficiency in the post‐COVID era
The COVID‐19 pandemic made people reevaluate their energy consumption and energy
efficiency. It held up a mirror to humanity's opportunistic and ruthless deployment of energy …
efficiency. It held up a mirror to humanity's opportunistic and ruthless deployment of energy …
Integrating solar PV systems for energy efficiency in portable cabins: A case study in Kuwait
The rapid growth of energy consumption in densely populated urban areas with limited land
space, especially in hot climates, poses significant challenges. The Australian University of …
space, especially in hot climates, poses significant challenges. The Australian University of …
Day-ahead optimal scheduling considering thermal and electrical energy management in smart homes with photovoltaic–thermal systems
The environmental impact on the energy sector has become a significant concern,
necessitating the implementation of Home Energy Management Systems (HEMS) to …
necessitating the implementation of Home Energy Management Systems (HEMS) to …
[HTML][HTML] Open Tool for Automated Development of Renewable Energy Communities: Artificial Intelligence and Machine Learning Techniques for Methodological …
The architecture, engineering, construction, and operations (AECO) sector exerts a
considerable influence on energy consumption and CO2 emissions released into the …
considerable influence on energy consumption and CO2 emissions released into the …
[HTML][HTML] A Comprehensive Review on Technologies for Achieving Zero-Energy Buildings
Y Wang, B Hu, X Meng, R **ao - Sustainability, 2024 - mdpi.com
The booming of the building industry has led to a sharp increase in energy consumption.
The advancement of zero-energy buildings (ZEBs) is of great significance in mitigating …
The advancement of zero-energy buildings (ZEBs) is of great significance in mitigating …
Application of AI for short-term pv generation forecast
The efficient use of the photovoltaic power requires a good estimation of the PV generation.
That is why the use of good techniques for forecast is necessary. In this research paper …
That is why the use of good techniques for forecast is necessary. In this research paper …
Profit distribution through blockchain solution from battery energy storage system in a virtual power plant using intelligence techniques
Abstract The implementation of Virtual Power Plants (VPPs) with appropriate energy
management can provide consumer units (CUs) with a significant reduction in energy …
management can provide consumer units (CUs) with a significant reduction in energy …
Electricity terminal multi-label recognition with a “one-versus-all” rejection recognition algorithm based on adaptive distillation increment learning and attention …
L Yin, N Wang, J Li - Applied Energy, 2025 - Elsevier
With the integration of distributed renewable energy into smart grids, the uncertainty of
distributed systems and new energy generation seriously affect the stable operation of …
distributed systems and new energy generation seriously affect the stable operation of …
Towards Net Zero Energy Building: AI-based Framework for Power Consumption and Generation Prediction
Net zero energy buildings (NZEBs) are at the forefront of sustainable construction, aiming to
balance energy consumption with energy production over the course of a year. These …
balance energy consumption with energy production over the course of a year. These …
Forecasting building energy demand and on-site power generation for residential buildings using long and short-term memory method with transfer learning
This study evaluates the effectiveness of the long and short-term (LSTM) implementation
with a particular emphasis on assessing the impact of transfer learning techniques in …
with a particular emphasis on assessing the impact of transfer learning techniques in …