[HTML][HTML] From concept to application: A review of use cases in urban building energy modeling
Urban building energy modeling (UBEM) is a bottom-up, physics-based approach to
simulate the thermal performance of new or existing neighborhoods and cities. The field has …
simulate the thermal performance of new or existing neighborhoods and cities. The field has …
Why baselines are not suited for local flexibility markets
The utilization of flexibility from distributed energy resources is necessary, in the course of
integration of more renewable energy resources to the power system. On a system level …
integration of more renewable energy resources to the power system. On a system level …
Review of smart meter data analytics: Applications, methodologies, and challenges
The widespread popularity of smart meters enables an immense amount of fine-grained
electricity consumption data to be collected. Meanwhile, the deregulation of the power …
electricity consumption data to be collected. Meanwhile, the deregulation of the power …
Transmission and distribution network-constrained large-scale demand response based on locational customer directrix load for accommodating renewable energy
Y Meng, S Fan, Y Shen, J **-Li-3/publication/324375313_Synchronous_Pattern_Matching_Principle_Based_Residential_Demand_Response_Baseline_Estimation_Mechanism_Analysis_and_Approach_Description/links/62c6d40400d0b451103ddd7c/Synchronous-Pattern-Matching-Principle-Based-Residential-Demand-Response-Baseline-Estimation-Mechanism-Analysis-and-Approach-Description.pdf" data-clk="hl=it&sa=T&oi=gga&ct=gga&cd=4&d=15828668363887900866&ei=dVypZ9a7JvW56rQPlf66gQo" data-clk-atid="wngAWQO6qtsJ" target="_blank">[PDF] researchgate.net
Synchronous pattern matching principle-based residential demand response baseline estimation: Mechanism analysis and approach description
Most current customer baseline load (CBL) estimation methods for incentive-based demand
response (DR) rely heavily on historical data and are unable to adapt to the cases when the …
response (DR) rely heavily on historical data and are unable to adapt to the cases when the …
A model of customizing electricity retail prices based on load profile clustering analysis
The problem of customizing electricity retail prices using data mining techniques is studied
in this paper. The density-based spatial clustering of applications with noise is first applied to …
in this paper. The density-based spatial clustering of applications with noise is first applied to …
Flexible scheduling of reconfigurable microgrid-based distribution networks considering demand response program
In future smart distribution grids, the number of microgrids can be increased within the
network. In this paper, the optimal reconfiguration of microgrid-based distribution networks is …
network. In this paper, the optimal reconfiguration of microgrid-based distribution networks is …
Secure data analytics for smart grid systems in a sustainable smart city: Challenges, solutions, and future directions
A smart city requires an intelligent infrastructure to improve the quality of life with sustainable
environment for its citizens. There is an exponential demand for efficient, secure, reliable …
environment for its citizens. There is an exponential demand for efficient, secure, reliable …
Time–frequency feature combination based household characteristic identification approach using smart meter data
Household characteristics play an important role in hel** utilities carry out efficient and
personalized services. Current methods to obtain such information, eg, surveys, are usually …
personalized services. Current methods to obtain such information, eg, surveys, are usually …
Consumption-aware data analytical demand response scheme for peak load reduction in smart grid
The exponential increase in load demand of the residential sector results in decreased
quality of service and increased demand-supply gap in the electricity market. To tackle these …
quality of service and increased demand-supply gap in the electricity market. To tackle these …