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  1. No Access

    Article

    Adaptive Dynamic Programming Algorithm for Renewable Energy Scheduling and Battery Management

    The employment of intelligent energy management systems likely allows reducing consumptions and thus saving money for consumers. The residential load demand must be met, and some advantages can be obtained if ...

    Matteo Boaro, Danilo Fuselli, Francesco De Angelis, Derong Liu… in Cognitive Computation (2013)

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    Chapter

    A Comparison between Different Optimization Techniques for Energy Scheduling in Smart Home Environment

    Nowadays a correct use of energy is a crucial aspect, in fact cost and energy waste reduction are the main goals that must be achieved. To reach this objective an optimal energy management must be obtained thr...

    Francesco De Angelis, Matteo Boaro, Danilo Fuselli… in Neural Nets and Surroundings (2013)

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    Chapter and Conference Paper

    Optimal Task and Energy Scheduling in Dynamic Residential Scenarios

    Smart homes of the future will include automation systems that will provide lower energy consumption costs and comfortable environments to end users. In this work we propose an algorithm, based on the “Mixed-I...

    Francesco De Angelis, Matteo Boaro… in Advances in Neural Networks – ISNN 2012 (2012)

  4. No Access

    Chapter and Conference Paper

    Optimal Battery Management with ADHDP in Smart Home Environments

    In this paper an optimal controller for battery management in smart home environments is presented in order to save costs and minimize energy waste. The considered scenario includes a load profile that must al...

    Danilo Fuselli, Francesco De Angelis… in Advances in Neural Networks – ISNN 2012 (2012)