{"id":"W3136513999","doi":"10.18280/jesa.540102","title":"Optimal Operation of Micro-Grids to Reduce Energy Production Costs and Environmental Pollution Using Ant Colony Optimization Algorithm (ACO)","year":2021,"lang":"en","type":"article","venue":"Journal Européen des Systèmes Automatisés","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ant colony optimization algorithms; Renewable energy; Wind power; Computer science; Environmental pollution; Reliability (semiconductor); Grid; Production (economics); Energy management; Electricity generation; Electric potential energy; Electric power; Reliability engineering; Energy (signal processing); Mathematical optimization; Algorithm; Power (physics); Environmental science; Engineering; Electrical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002431272,0.0002019377,0.0002453724,0.0002184014,0.0001944448,0.0001381698,0.00009008464,0.00006694554,0.0000395345],"category_scores_gemma":[0.00004181443,0.0002187254,0.0000520269,0.0002752566,0.00005024243,0.0004402326,0.00008649103,0.0001132841,0.000002875721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007411956,"about_ca_system_score_gemma":0.00004202387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002588273,"about_ca_topic_score_gemma":0.000004607199,"domain_scores_codex":[0.9985702,0.0001475607,0.0005061862,0.0002385174,0.0002931194,0.0002444063],"domain_scores_gemma":[0.9994797,0.00001252369,0.0001319006,0.0001753988,0.00007463741,0.0001258602],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000007617938,0.00003511144,0.00007086112,0.00003761214,0.00007602131,0.00002908326,0.0001705869,0.7952117,0.1582484,0.00002556248,0.0004258847,0.04566159],"study_design_scores_gemma":[0.0003089831,0.00008811356,0.01430499,0.0001958253,0.00006906808,0.001130378,0.0002379333,0.9055709,0.07744229,0.000008901665,0.0004223756,0.0002202843],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5732404,0.0009996491,0.4244336,0.00007081653,0.0009481695,0.000115425,0.00001552856,0.00008808564,0.0000883102],"genre_scores_gemma":[0.7787072,0.0009410594,0.219613,0.00003422508,0.000408257,0.000008282573,0.00003818891,0.00006004339,0.0001897641],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2054668,"threshold_uncertainty_score":0.8919362,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009314010419615474,"score_gpt":0.2132338833818908,"score_spread":0.2039198729622753,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}