A systematic review of building electricity use profile models
The building sector contributes significantly to overall energy consumption and carbon
emissions. Improving renewable energy utilization in buildings is of considerable …
emissions. Improving renewable energy utilization in buildings is of considerable …
A review of electricity tariffs and enabling solutions for optimal energy management
Today, electricity tariffs play an essential role in the electricity retail market as they are the
key factor for the decision-making of end-users. Additionally, tariffs are necessary for …
key factor for the decision-making of end-users. Additionally, tariffs are necessary for …
[HTML][HTML] DA-LSTM: A dynamic drift-adaptive learning framework for interval load forecasting with LSTM networks
Load forecasting is a crucial topic in energy management systems (EMS) due to its vital role
in optimizing energy scheduling and enabling more flexible and intelligent power grid …
in optimizing energy scheduling and enabling more flexible and intelligent power grid …
A machine learning-based framework for clustering residential electricity load profiles to enhance demand response programs
Load shapes derived from smart meter data are frequently employed to analyze daily energy
consumption patterns, particularly in the context of applications like Demand Response …
consumption patterns, particularly in the context of applications like Demand Response …
[HTML][HTML] Electricity scenarios for Hungary: Possible role of wind and solar resources in the energy transition
The paper examines the compatibility of wind and solar energy resources with projections of
future electricity demand in Hungary. For such, we model the national electricity system and …
future electricity demand in Hungary. For such, we model the national electricity system and …
Gaussian Mixture Model based pattern recognition for understanding the long-term impact of COVID-19 on energy consumption of public buildings
Z Huang, Z Gou - Journal of Building Engineering, 2023 - Elsevier
At present, the structural transformation of energy demand of public buildings in the post-
pandemic era is not well known, and there is also a lack of fine-grained research on energy …
pandemic era is not well known, and there is also a lack of fine-grained research on energy …
[HTML][HTML] Uncovering the financial impact of energy-efficient building characteristics with eXplainable artificial intelligence
K Konhäuser, T Werner - Applied Energy, 2024 - Elsevier
The urgency to combat climate change through decarbonization efforts is more crucial than
ever. The global building sector is one of the primary contributors to carbon emissions, yet …
ever. The global building sector is one of the primary contributors to carbon emissions, yet …
A machine learning framework to estimate residential electricity demand based on smart meter electricity, climate, building characteristics, and socioeconomic …
Due to the substantial portion of total electricity use attributed to the residential sector and
projected rises in demand, anticipating future energy needs in the context of a warming …
projected rises in demand, anticipating future energy needs in the context of a warming …
Customer segmentation based on smart meter data analytics: Behavioral similarities with manual categorization for building types
Among the techniques supporting information services that promote energy conservation,
clustering has been widely used for customer segmentation. However, the potential of smart …
clustering has been widely used for customer segmentation. However, the potential of smart …
Clustering and analysis of air source heat pump air heater usage patterns of inhabitants in Qinghai-Tibet Plateau areas
J Li, M Deng, X Wang, X Wang, R Ma - Journal of Building Engineering, 2023 - Elsevier
Occupant behavior is one of the most important factors influencing the level of energy
consumption in the operational phase of buildings. The unique climatic conditions of the …
consumption in the operational phase of buildings. The unique climatic conditions of the …