Load and price forecasting are key technologies for market participants to make optimal decisions regarding their demand response.
Assigning the weights of each forecasting model is key to obtaining accurate forecasts using parallel methods because the weights indicate the importance and effectiveness of each individual component in a combined model.
Load forecasting is a key step in a distribution network planning process, and more accurate forecast may achieve better performance for the planning scheme.
Electrical load forecasting is a key tool for understanding the energy demand which is usually applied to data with strong regularities and seasonal patterns.
For example, knowledge of how species and assemblages distribute along temperature gradients is key to forecast the consequences of global warming on species distributional ranges and interactions [15] [16].
One key reason climate simulations are bad at forecasting is that it's not what they were designed to do.
The price elasticity of acreage estimates are key parameters for forecasting acreage in all the countries.
I will never tire repeating that prevention and promotion are key if we want to change this catastrophic forecast.
A key factor in that forecast is DOD's continued commitment to reduce use of foreign oil and increase use of American advanced biofuels.
The selection of input variables for an ANN forecasting model is a key issue, since irrelevant or noisy variables may have negative effects on the training process, resulting to an unnecessarily complex model structure and poor generalization power (Voukantsis et al. 2011).
