The algorithms for short-term load forecast (STLF), especially within the next-hour
horizon, belong to a group of methodologies that aim to render more effective the
actions of planning, operating and controlling electric energy systems (EES)we have
applied the mathematical techniques of process-reconstruction to the underlying
stochastic process, using coding and block entropies to characterize the measure and
memory range. At a second stage, the concept of consumption trend in homologous
days of previous weeks has been used. The possibility to include weather-related
variables in the IV has also been analyzed, the option finally being to establish a
model of the non -weather sensitive type. The paper uses a real - life case study this study will talk about Distribution Systems, Load forecasting, Measure, Memory range,Consumption trend, Artificial neural networks.
Download
