[HTML][HTML] Interpretable machine learning for building energy management: A state-of-the-art review
Abstract Machine learning has been widely adopted for improving building energy efficiency
and flexibility in the past decade owing to the ever-increasing availability of massive building …
and flexibility in the past decade owing to the ever-increasing availability of massive building …
[HTML][HTML] Explainable Artificial Intelligence (XAI) techniques for energy and power systems: Review, challenges and opportunities
Despite widespread adoption and outstanding performance, machine learning models are
considered as “black boxes”, since it is very difficult to understand how such models operate …
considered as “black boxes”, since it is very difficult to understand how such models operate …
A compound framework incorporating improved outlier detection and correction, VMD, weight-based stacked generalization with enhanced DESMA for multi-step short …
W Fu, Y Fu, B Li, H Zhang, X Zhang, J Liu - Applied Energy, 2023 - Elsevier
Precise wind speed forecasting contributes to wind power consumption and power grid
schedule as well as promotes the implementation of global carbon neutrality policy …
schedule as well as promotes the implementation of global carbon neutrality policy …
Scenario-based prediction of climate change impacts on building cooling energy consumption with explainable artificial intelligence
In this paper, we present a newly developed eXplainable artificial intelligence (XAI) model to
analyze the impacts of climate change on the cooling energy consumption (E c) in buildings …
analyze the impacts of climate change on the cooling energy consumption (E c) in buildings …
Explainable long-term building energy consumption prediction using QLattice
S Wenninger, C Kaymakci, C Wiethe - Applied Energy, 2022 - Elsevier
The global building sector is responsible for nearly 40% of total carbon emissions, offering
great potential to move closer to set climate goals. Energy performance certificates designed …
great potential to move closer to set climate goals. Energy performance certificates designed …
Adapted techniques of explainable artificial intelligence for explaining genetic algorithms on the example of job scheduling
YC Wang, T Chen - Expert Systems with Applications, 2024 - Elsevier
Many evolutionary artificial intelligence (AI) technologies have been applied to assist with
job scheduling in manufacturing. One of the main approaches is genetic algorithms (GAs) …
job scheduling in manufacturing. One of the main approaches is genetic algorithms (GAs) …
Modeling of energy consumption factors for an industrial cement vertical roller mill by SHAP-XGBoost: a" conscious lab" approach
Cement production is one of the most energy-intensive manufacturing industries, and the
milling circuit of cement plants consumes around 4% of a year's global electrical energy …
milling circuit of cement plants consumes around 4% of a year's global electrical energy …
Explainable, domain-adaptive, and federated artificial intelligence in medicine
Artificial intelligence (AI) continues to transform data analysis in many domains. Progress in
each domain is driven by a growing body of annotated data, increased computational …
each domain is driven by a growing body of annotated data, increased computational …
A state-of-art review of dew point evaporative cooling technology and integrated applications
X Xiao, J Liu - Renewable and Sustainable Energy Reviews, 2024 - Elsevier
Energy consumption of air conditioning accounts for a large proportion of energy
consumption of buildings, and it is indispensable to reduce the operational cost of air …
consumption of buildings, and it is indispensable to reduce the operational cost of air …
Measuring explainability and trustworthiness of power quality disturbances classifiers using XAI—Explainable artificial intelligence
Advanced machine learning techniques have recently demonstrated outstanding
performance when applied to power quality disturbance (PQD) classification. Nevertheless …
performance when applied to power quality disturbance (PQD) classification. Nevertheless …