Solar Energy Forecasting in the Era of IoT Enabled Smart Grids

  • Dimitrios AnagnostosEmail author
Part of the Power Systems book series (POWSYS)


This chapter provides an overview about forecast models on temporal and spatial scales to enable smart methodologies for design and control. In order to succeed in this scope, a number of IoT components, such as distributed sensors, actuators, as well as decision-making devices are necessary. Additionally, by integrating smart grid and energy forecast with big data analytics and deep learning services, it enables to produce accurate and detailed local forecasts, in order to control the grid dynamically.


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© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.National Technical University of AthensAthensGreece
  2. 2.Katholieke Universiteit LeuvenLeuvenBelgium

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