Routing (electronic design automation)

World Wide Web

Engineering

Ecology

Biology

Embedded system

Curse of dimensionality

Scheduling (production processes)

Computer science

Mathematical optimization

Payment

Mathematics

Thermal energy storage

Electricity

Machine learning

Electrical engineering

Job shop scheduling

This paper proposes a multiobjective home energy management unit (MO-HEMU) to balance the electricity payment and thermal discomfort of a household by properly scheduling devices in a time-varying price environment. The thermal discomfort is measured by the deviation of indoor and hot water temperature from the user's ideal temperature. The home devices include solar Photovoltaics, a battery storage system, deferrable, and thermal appliances. The proposed MO-HEMU is formulated as a dynamic program and a method based on the approximated dynamic programming is used as the scheduling algorithm. The developed method, called multistep look-ahead algorithm, is an iterative algorithm that overcomes the curse of dimensionality of the exact DP by choosing a decision based on a limited number of stages ahead. The effectiveness of the proposed model is investigated through numerical simulations. The proposed MO-HEMU enables customers to find the desired trade-off between electricity payment and a discomfort level.

Multiobjective Home Appliances Scheduling Considering Customer Thermal Discomfort: A Multistep Look-ahead ADP-Based Approach