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In electric power system, long term peak load forecasting plays an important role in terms of policy planning and budget allocation. The planning of power system expansion project starts with the forecasting of anticipated load requirement. Accurate forecasting method can be helpful in developing power supply strategy and development plan, especially for developing countries where the demand is increased...
This paper introduces a general Bayesian framework for obtaining sparse solutions to regression predicting, and the practical model 'relevance vector machine' (RVM) by Michael E. Tipping. As a brand-new thought of probabilistic learning model, it offers the superior level of generalization accuracy and a number of additional advantages comparable with the popular and state-of-the-art 'support vector...
Load forecasting is very important for electrical companies since it permits the system operator, the planning, the distribution and the control of the electrical energy supplied to customers. Electric load is affected by many uncertain factors, so many factors should be considered in forecasting process. This paper introduced a new method based on data mining to reflect the influence of weather factor...
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