A short review on data mining techniques for electricity customers characterization
An important tool to manage electrical systems is the knowledge of customers' consumption
patterns. Data Mining (DM) emerges as an important tool for extracting information about …
patterns. Data Mining (DM) emerges as an important tool for extracting information about …
Characterizing residential load patterns on multi-time scales utilizing LSTM autoencoder and electricity consumption data
Load patterns represent a clear picture of electricity usage, reflecting the consumer's habits.
Previous works mainly focused on load patterns discovery on a fixed scale, but limited to …
Previous works mainly focused on load patterns discovery on a fixed scale, but limited to …
Data mining techniques for electricity customer characterization
The liberalization of electricity markets has been resulted in the emergence of new players,
increasing the competitiveness in the markets, standing those can provide better services for …
increasing the competitiveness in the markets, standing those can provide better services for …
Residential battery sizing model using net meter energy data clustering
The high upfront costs of batteries have limited the investment in retrofit residential energy
storage systems for solar customers. Battery size is one of the most important factors that …
storage systems for solar customers. Battery size is one of the most important factors that …
Load photo: A novel analysis method for load data
Load data is an essential input for power system analysis and management. However,
traditional load analysis methods do not fit well with emerging deep learning models that …
traditional load analysis methods do not fit well with emerging deep learning models that …
Clustering Electrical Customers with Source Power and Aggregation Constraints: A Reliability-Based Approach in Power Distribution Systems
Reliability is an important issue in electricity distribution systems, with strict regulatory
policies and investments needed to improve it. This paper presents a mixed integer linear …
policies and investments needed to improve it. This paper presents a mixed integer linear …
Energy flow problem solution based on state estimation approaches and smart meter data
AV Pazderin, ID Polyakov, VO Samoylenko - Global Energy Interconnection, 2022 - Elsevier
Accurate electric energy (EE) measurements and billing estimations in a power system
necessitate the development of an energy flow distribution model. This paper summarizes …
necessitate the development of an energy flow distribution model. This paper summarizes …
Research on customer classification and service quality evaluation of online education platform
J Li, Y Yang, D Baibokonov - 2020 - aisel.aisnet.org
At present, the online education platform is developing rapidly, and effectively identifying the
personalized needs of consumers and improving the service experience of consumers is the …
personalized needs of consumers and improving the service experience of consumers is the …
[PDF][PDF] An Identification Method of Power User Group Based on Big Data Analysis.
X Li, H Zeng, H Chen, X Li, M Liu - Journal of Engineering Science & …, 2023 - jestr.org
Power user group is the main target of power industry management, and identifying different
types of power user groups has become a research hotspot in the power industry. Power …
types of power user groups has become a research hotspot in the power industry. Power …
[PDF][PDF] Clustering Electrical Customers with Source Power and Aggregation Constraints: A Reliability-Based Approach in Power Distribution System. Energies 2023 …
Reliability is an important issue in electricity distribution systems, with strict regulatory
policies and investments needed to improve it. This paper presents a mixed integer linear …
policies and investments needed to improve it. This paper presents a mixed integer linear …