This study generalizes the applications of learning curve theory. It extends the simple power learning model in two ways: (1) by extending the model to include other sift variables, the extensive learning model; (2) by generalizing the functional relationship to give greater flexibility in modelling the learning curve, the translog learning model. Through empirical analyses of gross domestic product, total energy consumption, petroleum consumption, and petroleum products consumption, different learning curve models are explored and compared
Learning curves play a central role in power sector planning. We improve upon past learning curves f...
Since 2007, shale oil and gas production in the United States has become a significant portion of th...
Learning curve models have gained widespread acceptance as a technique for analyzing and forecasting...
This paper uses the formal concept of learning curves to analyze regular behavior of performance im...
In this paper, which forms a chapter in the forthcoming Book âDelivering a Low Carbon Electricity Sy...
In this paper, which forms a chapter in the forthcoming Book “Delivering a Low Carbon Electricity Sy...
To further our understanding of the effectiveness of learning or experience curves to forecast techn...
This dataset includes input data to estimate learning-by-doing (LbD) and learning-by-researching (Lb...
To further our understanding of the effectiveness of learning or experience curves to forecast techn...
In bottom-up energy models endogenous technical change is introduced by implementing technology lear...
This paper aims at improving the application of the learning curve, a popular tool used for forecast...
This study investigates whether human judgement can be of value to users of industrial learning curv...
This dataset includes input data to estimate learning-by-deploying (LbD) and learning-by-researching...
This study investigates whether human judgement can be of value to users of industrial learning curv...
This study presents improved methods for long-term forecasting of mineral demands. Intensity of use,...
Learning curves play a central role in power sector planning. We improve upon past learning curves f...
Since 2007, shale oil and gas production in the United States has become a significant portion of th...
Learning curve models have gained widespread acceptance as a technique for analyzing and forecasting...
This paper uses the formal concept of learning curves to analyze regular behavior of performance im...
In this paper, which forms a chapter in the forthcoming Book âDelivering a Low Carbon Electricity Sy...
In this paper, which forms a chapter in the forthcoming Book “Delivering a Low Carbon Electricity Sy...
To further our understanding of the effectiveness of learning or experience curves to forecast techn...
This dataset includes input data to estimate learning-by-doing (LbD) and learning-by-researching (Lb...
To further our understanding of the effectiveness of learning or experience curves to forecast techn...
In bottom-up energy models endogenous technical change is introduced by implementing technology lear...
This paper aims at improving the application of the learning curve, a popular tool used for forecast...
This study investigates whether human judgement can be of value to users of industrial learning curv...
This dataset includes input data to estimate learning-by-deploying (LbD) and learning-by-researching...
This study investigates whether human judgement can be of value to users of industrial learning curv...
This study presents improved methods for long-term forecasting of mineral demands. Intensity of use,...
Learning curves play a central role in power sector planning. We improve upon past learning curves f...
Since 2007, shale oil and gas production in the United States has become a significant portion of th...
Learning curve models have gained widespread acceptance as a technique for analyzing and forecasting...