[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 …
Energy flexibility of residential buildings: A systematic review of characterization and quantification methods and applications
With building electric demand becoming increasingly dynamic, and a growing percentage of
intermittent renewable power generation from solar photovoltaics and wind turbines, the …
intermittent renewable power generation from solar photovoltaics and wind turbines, the …
Key challenges for a large-scale development of battery electric vehicles: A comprehensive review
Nowadays, several countries have adopted an energy transition policy to achieve carbon
targets and decarbonize transport while improving their electricity mixes. Electric vehicles …
targets and decarbonize transport while improving their electricity mixes. Electric vehicles …
An interval-based nested optimization framework for deriving flexibility from smart buildings and electric vehicle fleets in the TSO-DSO coordination
Emerging renewable-based transmission and distribution systems, despite many
environmental and economic benefits, due to the intermittent nature of their production …
environmental and economic benefits, due to the intermittent nature of their production …
Prospects and challenges of the machine learning and data-driven methods for the predictive analysis of power systems: A review
W Strielkowski, A Vlasov, K Selivanov, K Muraviev… - Energies, 2023 - mdpi.com
The use of machine learning and data-driven methods for predictive analysis of power
systems offers the potential to accurately predict and manage the behavior of these systems …
systems offers the potential to accurately predict and manage the behavior of these systems …
[HTML][HTML] Power to heat: Opportunity of flexibility services provided by building energy systems
Buildings play a crucial role in global electricity consumption, but their function is evolving.
Rather than merely consuming energy, buildings have the potential to become energy …
Rather than merely consuming energy, buildings have the potential to become energy …
[HTML][HTML] Demand flexibility of residential buildings: definitions, flexible loads, and quantification methods
This paper reviews recent research on the demand flexibility of residential buildings in
regard to definitions, flexible loads, and quantification methods. A systematic distinction of …
regard to definitions, flexible loads, and quantification methods. A systematic distinction of …
Modelling of a multi-stage energy management control routine for energy demand forecasting, flexibility, and optimization of smart communities using a Recurrent …
This paper proposes an innovative algorithm for community energy management control,
able to involve customers in energy trading by exploiting their potential energy flexibility. The …
able to involve customers in energy trading by exploiting their potential energy flexibility. The …
A hybrid demand response mechanism based on real-time incentive and real-time pricing
This paper proposes a hybrid demand response (DR) mechanism considering three types of
participants: power grid operator (PGO), retailers and end users. Different from the traditional …
participants: power grid operator (PGO), retailers and end users. Different from the traditional …
Life-cycle economic analysis of thermal energy storage, new and second-life batteries in buildings for providing multiple flexibility services in electricity markets
More energy flexibility is required to alleviate the stress of power systems caused by
intermittent and weather-dependent solar and wind power. The utilization of demand-side …
intermittent and weather-dependent solar and wind power. The utilization of demand-side …