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This paper shows the application of the Neighbor Histories (NH) algorithm to the problem of short term electrical load forecasting in a utility company. This algorithm is a simple application of embedding theorems recently used in chaotic time series prediction. The choice of the parameters of the algorithm is usually done manually by trial and error. In this paper the possibility of automatic selection...
This paper presents a new medium-term forecasting method applied to load of a particular region. This is a hybrid method based on neural networks and technocenosis theory. The theory in its turn is based on idea to regard big infrastructure objects as an entity of technical products. The main advantage of describing method is that it allows to account system constraints and dependences, and structural...
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