%0 Generic %1 biswas2024aidriven %A Biswas, Parag %A Rashid, Abdur %A Biswas, Angona %A Nasim, Md Abdullah Al %A Gupta, Kishor Datta %A George, Roy %D 2024 %K ai cs energy optimization %T AI-Driven Approaches for Optimizing Power Consumption: A Comprehensive Survey

@misc{biswas2024aidriven, added-at = {2024-06-25T06:31:57.000+0200}, archiveprefix = {arXiv}, author = {Biswas, Parag and Rashid, Abdur and Biswas, Angona and Nasim, Md Abdullah Al and Gupta, Kishor Datta and George, Roy}, biburl = {https://www.bibsonomy.org/bibtex/240c5e427138f25dbdaa34df7c9d5779e/vddo}, description = {AI-Driven Approaches for Optimizing Power Consumption: A Comprehensive Survey}, eprint = {2406.15732}, interhash = {6b1d2b1a8eed331155855fba52c6303b}, intrahash = {40c5e427138f25dbdaa34df7c9d5779e}, keywords = {ai cs energy optimization}, primaryclass = {id='cs.AI' full_name='Artificial Intelligence' is_active=True alt_name=None in_archive='cs' is_general=False description='Covers all areas of AI except Vision, Robotics, Machine Learning, Multiagent Systems, and Computation and Language (Natural Language Processing), which have separate subject areas. In particular, includes Expert Systems, Theorem Proving (although this may overlap with Logic in Computer Science), Knowledge Representation, Planning, and Uncertainty in AI. Roughly includes material in ACM Subject Classes I.2.0, I.2.1, I.2.3, I.2.4, I.2.8, and I.2.11.'}, timestamp = {2024-06-25T06:32:52.000+0200}, title = {AI-Driven Approaches for Optimizing Power Consumption: A Comprehensive Survey}, year = 2024 }