Model predictive control of heating, ventilation, and air conditioning (HVAC) systems: A state-of-the-art review
Due to the fast advancement of communication and information technology, intelligent
buildings have garnered great interest. These buildings can forecast weather, ambient …
buildings have garnered great interest. These buildings can forecast weather, ambient …
Artificial intelligence-based strategies for sustainable energy planning and electricity demand estimation: A systematic review
Access to electricity is a cornerstone for sustainable development and is pivotal to a
country's progress. The absence of electricity impedes development and elevates poverty …
country's progress. The absence of electricity impedes development and elevates poverty …
Electricity peak shaving for commercial buildings using machine learning and vehicle to building (V2B) system
Reducing electricity peak demand is essential to maintain the balance between supply and
demand side in electricity power markets, as well as reduce utility costs and environmental …
demand side in electricity power markets, as well as reduce utility costs and environmental …
Reliability-based energy scheduling of active buildings subject to renewable energy and demand uncertainty
The increasing penetration of renewable energy sources (RESs) and the inherent volatility
in demand profiles have added another layer of complexity to the management of energy …
in demand profiles have added another layer of complexity to the management of energy …
[HTML][HTML] Explainable artificial intelligence for reliable water demand forecasting to increase trust in predictions
Abstract The “EU Artificial Intelligence Act” sets a framework for the implementation of
artificial intelligence (AI) in Europe. As a legal assessment reveals, AI applications in water …
artificial intelligence (AI) in Europe. As a legal assessment reveals, AI applications in water …
Modeling and optimization of NO emission for a steam power plant by data‐driven methods
The evolution of the power industry toward large‐scale automation and self‐monitoring
provides the opportunity to optimize the technical and environmental performance of the …
provides the opportunity to optimize the technical and environmental performance of the …
Forecasting of residential unit's heat demands: a comparison of machine learning techniques in a real-world case study
A large proportion of the energy consumed by private households is used for space heating
and domestic hot water. In the context of the energy transition, the predominant aim is to …
and domestic hot water. In the context of the energy transition, the predominant aim is to …
Performance evaluation of a residential building-based hydroelectric system driven by wastewater
T Walker, J Duquette - Sustainable Cities and Society, 2022 - Elsevier
Electricity is consumed in high-rise buildings for pum** domestic water from municipal
supply lines to end users located several floors above ground level. Currently, the potential …
supply lines to end users located several floors above ground level. Currently, the potential …
Toward Prediction of Energy Consumption Peaks and Timestam** in Commercial Supermarkets Using Deep Learning
Building energy consumption takes up over 30% of global final energy use and 26% of
global energy-related emissions. In addition, building operations represent nearly 55% of …
global energy-related emissions. In addition, building operations represent nearly 55% of …
[HTML][HTML] Existing industrial buildings–A review on multidisciplinary research trends and retrofit solutions
N Banti - Journal of Building Engineering, 2024 - Elsevier
In order to meet the international goals for a sustainable development, it is mandatory to
implement energy saving solutions on existing buildings and industrial ones should be also …
implement energy saving solutions on existing buildings and industrial ones should be also …