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Optimal dynamic management of energy systems: implementations and empirical analysis

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Management of multiple systems to generate energy is important with regard to the costs to incur, the effects on the environment and the flexibility of the system to cater for oscillations in the demand and supply of energy. These aspects must be considered in a dynamic context, through time and past events, which must also be assessed to formulate optimal policies for predictions and the management of the energy plants. Methods must be accurate so that precise management of plants to produce energy will be achieved. The aim of this paper is to present the Data Driven algorithm, describe the empirical analysis of an implementation and show the generality, the advantages and optimality of the planning procedure adopted.

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  1. Sapienza Università di, Rome, Italy

    Laura Di Giacomo

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  1. Laura Di Giacomo
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Correspondence to Laura Di Giacomo.

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Di Giacomo, L. Optimal dynamic management of energy systems: implementations and empirical analysis. Energy Syst 4, 61–77 (2013). https://doi.org/10.1007/s12667-012-0066-9

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  • DOI: https://doi.org/10.1007/s12667-012-0066-9

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