Add to ORKGThe estimation of electric power consumption is an integral part of power generation economics and is critical to optimization of cost of production of electricity, since it allows demand matching for optimized generation of electricity. The present paper augments a simple regression-based scheme with a predictive machine-learning based piecewise linear slope-estimation technique for more accurate estimates, which is further modified to compensate for initialization error
Balancing the production and consumption of electricity is an urgent task. Its implementation largel...
Abstract. Since several years ago, power consumption forecast has at-tracted considerable attention ...
The ability to predict ggregated electricity demand of n electrical grid on an hourly basis is cruci...
As a known fact, energy usage and demand exponentially rises year after year, hence forth power base...
Balance between energy consumption and production of electricityis a very important for the electric...
This paper proposes a predictive techno-economic analysis in terms of voltage stability and cost usi...
The use of electricity has a significant impact on the environment, energy distribution costs, and e...
This paper aims to develop a predictive model of residential electricity demand using techniques fro...
This thesis deals with electricity consumption forecasting. A lot of methods depending on the length...
The emergence of concepts, policies and applications like smart grid, energy communities, carbon foo...
This paper presents research on the application of various machine learning models to predict power ...
For effective management of power systems in heavy industries, accurate power demand forecasting is ...
Developed new and useful regression models are used to predict the power consumption. An experimenta...
This study investigates the performance of regression model, Kalman filter adaptation algorithm and ...
Forecasting energy usage is a challenge that enables power suppliers to address particular behaviors...
Balancing the production and consumption of electricity is an urgent task. Its implementation largel...
Abstract. Since several years ago, power consumption forecast has at-tracted considerable attention ...
The ability to predict ggregated electricity demand of n electrical grid on an hourly basis is cruci...
As a known fact, energy usage and demand exponentially rises year after year, hence forth power base...
Balance between energy consumption and production of electricityis a very important for the electric...
This paper proposes a predictive techno-economic analysis in terms of voltage stability and cost usi...
The use of electricity has a significant impact on the environment, energy distribution costs, and e...
This paper aims to develop a predictive model of residential electricity demand using techniques fro...
This thesis deals with electricity consumption forecasting. A lot of methods depending on the length...
The emergence of concepts, policies and applications like smart grid, energy communities, carbon foo...
This paper presents research on the application of various machine learning models to predict power ...
For effective management of power systems in heavy industries, accurate power demand forecasting is ...
Developed new and useful regression models are used to predict the power consumption. An experimenta...
This study investigates the performance of regression model, Kalman filter adaptation algorithm and ...
Forecasting energy usage is a challenge that enables power suppliers to address particular behaviors...
Balancing the production and consumption of electricity is an urgent task. Its implementation largel...
Abstract. Since several years ago, power consumption forecast has at-tracted considerable attention ...
The ability to predict ggregated electricity demand of n electrical grid on an hourly basis is cruci...