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write a literature review about the optimization methods used in HEMS, review the optimization methods similar but not the same to this paper attached . The optimization methods are classified as:
1- Classical methods
2- Heuristic and Metaheuristic methods
3- Model Predictive Control Methods
4- Stocastic Methods
5- Game theory based Methods
6- AI based Methods
7- Other methods (if needed)
first start describing in general the main category, then write briefly about the most common methods used of this category for HEMS then summarize the most common and most cited studies in a table that contains: the reference number, method, components of HEMS, objective functions, contributions, limitations and any other feature that apply to the main category of optimization method or the HEMS model. I will send you more features soon.
You do this process for all the main categories of optimization methods as in the attached paper but not the same. it’s just an example of how I want my literature to be structured.
Please spend more time and allow more space for the tables because it represent and summarize the value of the literature review. If you need more time just ask me, but please do not just copy and pate from the literature, you will find a lot of review regarding this topic.
under the AI based methods include reinforcement learning method but do not include deep reinforcement learning methods because it will be in the next chapter. If you did a good work I will request you for my next order.
Please write and design the tables in latex format and use references as much as needed.
please ask me anything if you are not sure about because I expect a professional work.

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