With the advent of smart metering technology the amount of energy data will increase significantly and utilities industry will have to face another big challenge - to find relationships within time-series data and even more - to analyze such huge numbers of time series to find useful patterns and trends with fast or even real-time response. This study makes a small review of the literature in the field, trying to demonstrate how essential is the application of data mining techniques in the time series to make the best use of this large quantity of data, despite all the difficulties. Also, the most important Time Series Data Mining techniques are presented, highlighting their applicability in the energy domain
A new framework for analyzing time series data called Time Series Data Mining (TSDM) is introduced. ...
Forecasting and anomaly detection for energy time series is emerging as an important application are...
A new framework for analyzing time series data called Time Series Data Mining (TSDM) is introduced. ...
Responsible, efficient and environmentally aware energy consumption behavior is becoming a necessity...
Responsible, efficient and environmentally aware energy consumption behavior is becoming a necessity...
Data mining has become an essential tool during the last decade to analyze large sets of data. The v...
Data mining has become an essential tool during the last decade to analyze large sets of data. The v...
Data mining has become an essential tool during the last decade to analyze large sets of data. The v...
Time series represent sequences of data points where usually their order is defined by the time when...
In this study paper, the feasibility of constructing a complete smart system for anticipating electr...
Time series analytics is a fundamental prerequisite for decision-making as well as automation and oc...
This paper presents a novel data mining framework for the exploration and extraction of actionable k...
This paper presents a novel data mining framework for the exploration and extraction of actionable k...
In this paper, we investigate a critical problem in smart meter data mining: computing electricity c...
Summarization: Tracking end-users' usage patterns can enable more accurate demand forecasting and th...
A new framework for analyzing time series data called Time Series Data Mining (TSDM) is introduced. ...
Forecasting and anomaly detection for energy time series is emerging as an important application are...
A new framework for analyzing time series data called Time Series Data Mining (TSDM) is introduced. ...
Responsible, efficient and environmentally aware energy consumption behavior is becoming a necessity...
Responsible, efficient and environmentally aware energy consumption behavior is becoming a necessity...
Data mining has become an essential tool during the last decade to analyze large sets of data. The v...
Data mining has become an essential tool during the last decade to analyze large sets of data. The v...
Data mining has become an essential tool during the last decade to analyze large sets of data. The v...
Time series represent sequences of data points where usually their order is defined by the time when...
In this study paper, the feasibility of constructing a complete smart system for anticipating electr...
Time series analytics is a fundamental prerequisite for decision-making as well as automation and oc...
This paper presents a novel data mining framework for the exploration and extraction of actionable k...
This paper presents a novel data mining framework for the exploration and extraction of actionable k...
In this paper, we investigate a critical problem in smart meter data mining: computing electricity c...
Summarization: Tracking end-users' usage patterns can enable more accurate demand forecasting and th...
A new framework for analyzing time series data called Time Series Data Mining (TSDM) is introduced. ...
Forecasting and anomaly detection for energy time series is emerging as an important application are...
A new framework for analyzing time series data called Time Series Data Mining (TSDM) is introduced. ...