A Turnkey Solution for A VSTLF Model Using Artificial Neural Networks and Microcontrollers

Neural networks are by nature parallel computational algorithms used to address two types of problems. Namely the classification problem and forecast problem. The availability of low cost and high speed microcontrollers with peripheral rich features, specifically peripherals in support of communication mediums have led to a more feasible implementation of the neural network paradigm to address the very short term load forecast problem. The paper proposes a turnkey solution incorporating a neural network algorithm onto a microcontroller platform to address a very short term load forecast problem.