We consider several basic communication problems in a hypercube network of processors. These include the problem of simultaneous broadcast of the same packet from every processor to all other processors and the problem of simultaneous exchange of different packets between every pair of processors. The algorithms proposed for these problems are optimal in terms of execution time and communication resource requirements, that is, they require the minimum possible number of time steps and packet transmissions. This is a particularly strong form of optimality, which has not been considered in earlier investigations.

In this paper we present an investigation for the short term (up 24 hours) load forecasting of the demand for the South Sulewesi's (Sulewesi Island -Indonesia) Power System, using a Multiple Linear Regression (MLR) method. After a brief analytical discussion of the technique, the usage of polynomial terms and the steps to compose the MLR model will be explained. Report on implementation of MLR algorithm using commercially available tool such as Microsoft EXCEL TM will also be discussed. As a case study, historical data consisting of hourly load demand and temperatures of South Sulawesi electrical system will be used, to forecast the short term load. The results will be presented and analysed potential for improvement using alternative methods is also discussed.

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