Faculty

Institution

Unit

Venue

Ahmet Palazoglu

Professor

University of California, Davis

Affiliations

College of Engineering

Chemical Engineering

Process Systems Engineering

Ahmet Palazoglu is currently serving as a Chemical Engineering Professor at University of California, Davis.

Honors

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Experiences

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Education

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Ahmet Palazoglu

University of California, Davis

Professor

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chemical engineering engineering systems engineering control systems automatic control industrial engineering process control computer science machine learning industrial chemistry model predictive control atmospheric science process monitoring nonlinear control energy management control engineering air pollution atmospheric environment engineering optimization control optimization thermal engineering robust control control design functional expansions meteorology chemometrics fault detection condition monitoring control science production scheduling process engineering pattern recognition aerosol science process safety fault diagnosis applied meteorology demand response surface characterization energy control power system optimization process design process control systems wiener models protein science mathematical optimization reliability engineering hidden markov model anomaly detection scheduling (production processes) scheduling problems process analysis cluster analysis symmetry groups process systems robust controller design control system technology atmospheric research air quality numerical simulations quality engineering nanobiotechnology particulate matter power system control energy optimization failure detection decentralised system scheduling (computing) wavelet transform chlor-alkali process crude oil unloading real-time process monitoring energy dissipation nanoscale heterogeneity operational optimization hammerstein models northern california process modelling

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

Industrial Process Fault Detection Based on Siamese Recurrent Autoencoder. Computers & Chemical Engineering (2024)

Cheng JiFangyuan MaJingde WangWei SunAhmet Palazoglu

scientific computingindustrial engineeringsystems engineeringindustrial artificial intelligencemachine learningrecurrent neural networksreliability engineeringchemical engineeringindustrial informaticsprocess monitoringcomputational engineeringsiamese recurrent autoencoderdeep learningautoencodersmachine learning researchcomputational intelligencefault detectioncomputer science

Soft Sensor Modeling Method Considering Higher-Order Moments of Prediction Residuals. Processes (2024)

Fangyuan MaCheng JiJingde WangWei SunAhmet Palazoglu

machine learninghigher-order momentsprediction residualsmodeling and simulationapplied mathematicscomputer scienceengineering

Deep Reinforcement Learning for Continuous Process Scheduling With Storage, Day-Ahead Pricing and Demand Uncertainty. Computer-aided chemical engineering/Computer aided chemical engineering (2022)

Gustavo CamposSimge YildizNael H. El-FarraAhmet Palazoglu

demand uncertaintysystems engineeringmachine learningchemical engineeringday-ahead pricingcomputer sciencedeep reinforcement learning

Performing Multi-Objective Optimization Alongside Dimension Reduction to Determine Number of Clusters. Processes (2022)

Melisa MollaianGyula DörgőAhmet Palazoglu

dimensionality reductionperformance studiesmulti-objective optimizationdimension reductionperformance evaluation

Soft Actor-Critic Deep Reinforcement Learning With Hybrid Mixed-Integer Actions for Demand Responsive Scheduling of Energy Systems. Industrial & Engineering Chemistry Research (2022)

Gustavo CamposNael H. El-FarraAhmet Palazoglu

control optimizationdeep reinforcement learningengineering optimizationhybrid mixed-integer actionsmathematical optimizationindustrial chemistryindustrial catalysisscheduling problemsenergy managementindustrial collaborationsoft computingdemand responsive schedulingreinforcement learningautomatic controlapplied mathematicsindustrial engineeringsystems engineeringengineeringoperations research

Assessment of Demand Response Particibility Potential Based on Cost-Effective Process Design. IFAC-PapersOnLine (2021)

Yu LiuGustavo CamposAhmet PalazogluNael H. El-Farra

energy managementeconomicscost-effective process designprocess design

A Study of Spectral Envelope Method for Multi-Cause Diagnosis Using Industrial Data. Computer-aided chemical engineering/Computer aided chemical engineering (2021)

Gizem Kuşoğlu KayaPelin DöloğluÇağla Odabaşı ÖzerOcan ŞahinAhmet PalazoğluMurat Külahçı

systems engineeringchemical engineeringmulti-cause diagnosisindustrial dataspectral envelope methodcomputer scienceoperations research

Guest Editorial: Data-Driven Management of Complex Systems Through Plant-Wide Performance Supervision. IEEE Transactions on Industrial Informatics (2021)

Okyay KaynakSteven DingAhmet PalazogluHao Luo

engineering managementsystems engineeringmanagementdata-driven managementindustrial informaticsguest editorialinformation technologyplant-wide performance supervision

Optimal Day-Ahead Load Curtailment for Central Chiller Plants. Computer-aided chemical engineering/Computer aided chemical engineering (2021)

Gustavo CamposYu LiuNael H. El-FarraAhmet Palazoglu

systems engineeringengineering optimizationcentral chiller plantsenergy efficiencyenergy controlchemical engineeringenergy demand managementthermal engineeringenergy harvestingpower system optimizationcontrol optimizationenergy storageautomatic controlenergy managementagricultural economicsload controlprocess design

Optimal Real-Time Dispatching of Chillers and Thermal Storage Tank in a University Campus Central Plant. Applied Energy (2021)

Gustavo CamposYu LiuDevon SchmidtJoseph YonkoskiDaniel ColvinDavid M. TromblyNael H. El-FarraAhmet Palazoglu

environmental engineeringtechnologyenergy optimizationenergy efficiencyoptimal real-time dispatchingenergy storageenergy engineeringthermal managementapplied mathematicsenergy managementthermal storage tank

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Ahmet Palazoglu

Professor

University of California, Davis

Affiliations

College of Engineering

Chemical Engineering

Process Systems Engineering

Ahmet Palazoglu is currently serving as a Chemical Engineering Professor at University of California, Davis.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Ahmet Palazoglu

University of California, Davis

Professor

You can click a keyword to filter the displayed items

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

Industrial Process Fault Detection Based on Siamese Recurrent Autoencoder. Computers & Chemical Engineering (2024)

Cheng JiFangyuan MaJingde WangWei SunAhmet Palazoglu

Soft Sensor Modeling Method Considering Higher-Order Moments of Prediction Residuals. Processes (2024)

Fangyuan MaCheng JiJingde WangWei SunAhmet Palazoglu

machine learninghigher-order momentsprediction residualsmodeling and simulationapplied mathematicscomputer scienceengineering

Deep Reinforcement Learning for Continuous Process Scheduling With Storage, Day-Ahead Pricing and Demand Uncertainty. Computer-aided chemical engineering/Computer aided chemical engineering (2022)

Gustavo CamposSimge YildizNael H. El-FarraAhmet Palazoglu

demand uncertaintysystems engineeringmachine learningchemical engineeringday-ahead pricingcomputer sciencedeep reinforcement learning

Performing Multi-Objective Optimization Alongside Dimension Reduction to Determine Number of Clusters. Processes (2022)

Melisa MollaianGyula DörgőAhmet Palazoglu

dimensionality reductionperformance studiesmulti-objective optimizationdimension reductionperformance evaluation

Soft Actor-Critic Deep Reinforcement Learning With Hybrid Mixed-Integer Actions for Demand Responsive Scheduling of Energy Systems. Industrial & Engineering Chemistry Research (2022)

Gustavo CamposNael H. El-FarraAhmet Palazoglu

Assessment of Demand Response Particibility Potential Based on Cost-Effective Process Design. IFAC-PapersOnLine (2021)

Yu LiuGustavo CamposAhmet PalazogluNael H. El-Farra

energy managementeconomicscost-effective process designprocess design

A Study of Spectral Envelope Method for Multi-Cause Diagnosis Using Industrial Data. Computer-aided chemical engineering/Computer aided chemical engineering (2021)

Gizem Kuşoğlu KayaPelin DöloğluÇağla Odabaşı ÖzerOcan ŞahinAhmet PalazoğluMurat Külahçı

systems engineeringchemical engineeringmulti-cause diagnosisindustrial dataspectral envelope methodcomputer scienceoperations research

Guest Editorial: Data-Driven Management of Complex Systems Through Plant-Wide Performance Supervision. IEEE Transactions on Industrial Informatics (2021)

Okyay KaynakSteven DingAhmet PalazogluHao Luo

engineering managementsystems engineeringmanagementdata-driven managementindustrial informaticsguest editorialinformation technologyplant-wide performance supervision

Optimal Day-Ahead Load Curtailment for Central Chiller Plants. Computer-aided chemical engineering/Computer aided chemical engineering (2021)

Gustavo CamposYu LiuNael H. El-FarraAhmet Palazoglu

Optimal Real-Time Dispatching of Chillers and Thermal Storage Tank in a University Campus Central Plant. Applied Energy (2021)

Gustavo CamposYu LiuDevon SchmidtJoseph YonkoskiDaniel ColvinDavid M. TromblyNael H. El-FarraAhmet Palazoglu

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