-family residential sector. In this paper, we build a sensor-based forecasting model using Support Vector Regression (SVR), a commonly …. Ultimately, accurate and cost effective wide-scale energy prediction is a vital step towards next-generation energy efficiency …

-mean-square error) and the coefficient of determination (R2). The prediction results of SVR–POLY models outperformed the results of SVR …–RBF models for all prediction horizons and all sampling intervals. Moreover, the SVR–POLY demonstrated high generalization … potential domains is control, where short-term prediction of heat load can play a significant role. With reliable prediction of …

Prediction is very important in business planning. The ability to accurately predict the future is fundamental to many …

A novel technique is presented based on self-organizing neural networks for prediction of fertilizer distribution …

and the last year was used to validate and compare the effectiveness of the generated prediction by the techniques … mentioned above. Seasonal ARIMA models present a better sensitivity to the adjustment and prediction of the wind speed for this …

prediction of rock burst classification with case instances using cloud models and attribution weight. First, cloud models are … and applicable for prediction of rock burst classification. Finally, different models with varying indicators are …