Scheduling of smart home appliances for optimal energy management in smart grid using Harris-hawks optimization algorithm

Mouassa, Souhil; Bouktir, Tarek; Jurado, Francisco

doi:10.1007/s11081-020-09572-1

Cited by 30 publications

(12 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This program can help the customers to take the assistance of grid operators to reduce the power consumption of the utilities during peak hours by smartly managing the load. Mouassa et al [ 80 ] employed HHO to schedule energy in smart homes. Abdel Aleem et al [ 75 ] have employed HHO to reduce the harmonic overloading levels of components based on the frequency with optimal planning of C-type harmonic filter, which is resonance free in a non-sinusoidal distribution system.…”

Section: Applications Of Hhomentioning

confidence: 99%

Harris Hawk Optimization: A Survey onVariants and Applications

Tripathy

Maddikunta

Pham

et al. 2022

Computational Intelligence and Neuroscience

View full text Add to dashboard Cite

In this review, we intend to present a complete literature survey on the conception and variants of the recent successful optimization algorithm, Harris Hawk optimizer (HHO), along with an updated set of applications in well-established works. For this purpose, we first present an overview of HHO, including its logic of equations and mathematical model. Next, we focus on reviewing different variants of HHO from the available well-established literature. To provide readers a deep vision and foster the application of the HHO, we review the state-of-the-art improvements of HHO, focusing mainly on fuzzy HHO and a new intuitionistic fuzzy HHO algorithm. We also review the applications of HHO in enhancing machine learning operations and in tackling engineering optimization problems. This survey can cover different aspects of HHO and its future applications to provide a basis for future research in the development of swarm intelligence paths and the use of HHO for real-world problems.

show abstract

Section: Applications Of Hhomentioning

confidence: 99%

Harris Hawk Optimization: A Survey onVariants and Applications

Tripathy

Maddikunta

Pham

et al. 2022

Computational Intelligence and Neuroscience

View full text Add to dashboard Cite

show abstract

“…In [53] a HEMS is proposed for the optimal management of appliances in a home. To find the solution to the problem, four heuristics are presented: bat algorithm, GWO, moth flam optimization, and Harris hawks optimization.…”

Section: Heuristics and Metaheuristicsmentioning

confidence: 99%

“…Some authors present cases where optimization is performed for several resolution values. This is the case of [53] which compares the results for a time horizon of 24 h, but for two different resolutions: 1 h and 12 min. The work with the lowest resolution among the selected papers is [60], where the resolution is 1 min for a time horizon of 24 h and a time steps value of 1440.…”

Section: Planning Horizon Resolution and Time Stepsmentioning

confidence: 99%

“…However, in many cases, researchers consider multiple objectives to be achieved simultaneously, as was possible to see in the summary of many of the works presented in the previous sections. In the literature, multiple objectives are presented simultaneously, as minimization of energy costs and user comfort [24], minimization of energy costs, PAR and user comfort [50,53,54], minimization of energy cost and emissions [77], minimization of energy costs and PAR [50,57], and minimization of energy costs and battery degradation [59]. However, these papers do not present the formulation in the conventional form of multi-objective problems, that is, problems with multi-objective formulations.…”

Section: Multi-objective Problemsmentioning

confidence: 99%

See 1 more Smart Citation

Recent Techniques Used in Home Energy Management Systems: A Review

et al. 2022

View full text Add to dashboard Cite

Power systems are going through a transition period. Consumers want more active participation in electric system management, namely assuming the role of producers–consumers, prosumers in short. The prosumers’ energy production is heavily based on renewable energy sources, which, besides recognized environmental benefits, entails energy management challenges. For instance, energy consumption of appliances in a home can lead to misleading patterns. Another challenge is related to energy costs since inefficient systems or unbalanced energy control may represent economic loss to the prosumer. The so-called home energy management systems (HEMS) emerge as a solution. When well-designed HEMS allow prosumers to reach higher levels of energy management, this ensures optimal management of assets and appliances. This paper aims to present a comprehensive systematic review of the literature on optimization techniques recently used in the development of HEMS, also taking into account the key factors that can influence the development of HEMS at a technical and computational level. The systematic review covers the period 2018–2021. As a result of the review, the major developments in the field of HEMS in recent years are presented in an integrated manner. In addition, the techniques are divided into four broad categories: traditional techniques, model predictive control, heuristics and metaheuristics, and other techniques.

show abstract

“…Topics included in the curated works for this Special Issue cover novel numerical optimization techniques (Richtárik et al 2020;Kızılkale and Pınar 2020), heuristic algorithms for optimization (Koessler and Almomani 2020), combinatorial optimization with applications to social networks (Shim, S. et al), applications of optimization to composite discrete ply-angle and thickness topology problems (He et al 2020), resource allocation models applied to smart home energy consumption and scheduling (Mouassa et al 2020) and applications of optimization methods to solutions of generalized Nash games (Migot and Cojocaru 2020) and social networks (Shim et al 2020). The selected contributions in this Special Issue illustrate the broad diversity of ideas discussed at the meeting.…”

mentioning

confidence: 99%