Forecasting is one of the few requirements for a successful energy management system applications. In a data-driven analytics application such as forecasting, data pre-processing, manual or automatic data features extraction and machine learning techniques are some of the main components requires in a data science related works. This project aims to develop a AI method for electricity load forecasting at the household level.Master of Science (Power Engineering
Energy management systems are designed to monitor, optimize, and control the smart grid energy marke...
Electric Load Forecasting (ELF) is one of the challenges being faced by the Power System industry. W...
AbstractThe prepaid electric power metering market is being driven in large part by advancements in ...
Forecasting is one of the few requirements for a successful energy management system applications. I...
The increasing levels of energy consumption worldwide is raising issues with respect to surpassing s...
Demand side management has a vital role in supporting the demand response in smart grid infrastructu...
Master's thesis in Computer ScienceThe focus of this thesis is the use of machine learning algorithm...
Load forecasting is an important task in the management of a power utility. The most recent developm...
Electrical load forecasting plays a vital role in order to achieve the concept of next generation po...
Leveraging smart metering solutions to support energy efficiency on the individual household level p...
Electrical energy consumption is affected by many parameters. These includes the variables related t...
Smart home is popular because of its intelligence, convenience and other excellent characteristics. ...
Smart grid components such as smart home and battery energy management systems, high penetration of ...
Since the emergence of different forms of sophisticated home appliances and smart home devices globa...
The global requirement for electricity is increasing daily with the expansion of infrastructure and ...
Energy management systems are designed to monitor, optimize, and control the smart grid energy marke...
Electric Load Forecasting (ELF) is one of the challenges being faced by the Power System industry. W...
AbstractThe prepaid electric power metering market is being driven in large part by advancements in ...
Forecasting is one of the few requirements for a successful energy management system applications. I...
The increasing levels of energy consumption worldwide is raising issues with respect to surpassing s...
Demand side management has a vital role in supporting the demand response in smart grid infrastructu...
Master's thesis in Computer ScienceThe focus of this thesis is the use of machine learning algorithm...
Load forecasting is an important task in the management of a power utility. The most recent developm...
Electrical load forecasting plays a vital role in order to achieve the concept of next generation po...
Leveraging smart metering solutions to support energy efficiency on the individual household level p...
Electrical energy consumption is affected by many parameters. These includes the variables related t...
Smart home is popular because of its intelligence, convenience and other excellent characteristics. ...
Smart grid components such as smart home and battery energy management systems, high penetration of ...
Since the emergence of different forms of sophisticated home appliances and smart home devices globa...
The global requirement for electricity is increasing daily with the expansion of infrastructure and ...
Energy management systems are designed to monitor, optimize, and control the smart grid energy marke...
Electric Load Forecasting (ELF) is one of the challenges being faced by the Power System industry. W...
AbstractThe prepaid electric power metering market is being driven in large part by advancements in ...