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Techno-Economic analysis of spot price volatility management in energy market incorporating Artificial neural network (2025)
Journal Article

Recently, the emergence of distributed energy resources in the consumer premises has given rise to microgrids. It
has become crucial to consider the impact of microgrids on the operation of existing power systems. Additionally,
the reforms in the e... Read More about Techno-Economic analysis of spot price volatility management in energy market incorporating Artificial neural network.

An approach based on multiquadric radial basis functions for smooth trajectory planning of robotic manipulators with kinematic constraints (2025)
Journal Article

This paper introduces a novel approach for planning smooth trajectories of robotic manipulators byleveraging multiquadric radial basis functions (MQRBFs). The proposed approach aims to achieve optimal trajectories by minimizing a multi-objective func... Read More about An approach based on multiquadric radial basis functions for smooth trajectory planning of robotic manipulators with kinematic constraints.

A Comprehensive Review of Most Competitive Maximum Power Point Tracking Techniques for Enhanced Solar Photovoltaic Power Generation (2024)
Journal Article

A major design challenge for a grid-integrated photovoltaic power plant is to generate maximum power under varying loads, irradiance, and outdoor climatic conditions using competitive algorithm-based controllers. The objective of this study is to rev... Read More about A Comprehensive Review of Most Competitive Maximum Power Point Tracking Techniques for Enhanced Solar Photovoltaic Power Generation.

Multi-Objective Stochastic Paint Optimizer for Solving Dynamic Economic Emission Dispatch with Transmission Loss Prediction Using Random Forest Machine Learning Model (2024)
Journal Article
Sundaram, A., & S. Alkhaldi, N. (2024). Multi-Objective Stochastic Paint Optimizer for Solving Dynamic Economic Emission Dispatch with Transmission Loss Prediction Using Random Forest Machine Learning Model. Energies, 17(4), https://doi.org/10.3390/en17040860

Dynamic economic emission dispatch problems are complex optimization tasks in power systems that aim to simultaneously minimize both fuel costs and pollutant emissions while satisfying various system constraints. Traditional methods often involve sol... Read More about Multi-Objective Stochastic Paint Optimizer for Solving Dynamic Economic Emission Dispatch with Transmission Loss Prediction Using Random Forest Machine Learning Model.

Estimation of photovoltaic models using an enhanced Henry gas solubility optimization algorithm with first-order adaptive damping Berndt-Hall-Hall-Hausman method (2024)
Journal Article
Ramachandran, M., Sundaram, A., Mohammed Ridha, H., & Mirjalili, S. (2024). Estimation of photovoltaic models using an enhanced Henry gas solubility optimization algorithm with first-order adaptive damping Berndt-Hall-Hall-Hausman method. Energy Conversion and Management, 299, Article 117831. https://doi.org/10.1016/j.enconman.2023.117831

A reliable methodology is essential for accurately estimating the parameters of PV models, enabling reliable performance evaluations, effective control studies, accurate analysis of partial shading effects, and optimal optimization of Photovoltaic (P... Read More about Estimation of photovoltaic models using an enhanced Henry gas solubility optimization algorithm with first-order adaptive damping Berndt-Hall-Hall-Hausman method.

Multiobjective multi verse optimization algorithm to solve dynamic economic emission dispatch problem with transmission loss prediction by an artificial neural network (2022)
Journal Article
Sundaram, A. (2022). Multiobjective multi verse optimization algorithm to solve dynamic economic emission dispatch problem with transmission loss prediction by an artificial neural network. Applied Soft Computing, 124, Article 109021. https://doi.org/10.1016/j.asoc.2022.109021

To overcome the drawback of using only one B-loss coefficient for a widely varying demand pattern that occurs during the entire period of a dynamic economic emission dispatch model, this research work presents a new approach to integrating artificial... Read More about Multiobjective multi verse optimization algorithm to solve dynamic economic emission dispatch problem with transmission loss prediction by an artificial neural network.

A hybrid Grasshopper Optimization Algorithm and Harris Hawks Optimizer for Combined Heat and Power Economic Dispatch problem (2022)
Journal Article
Ramachandran, M., Mirjalili, S., Nazari-Heris, M., Sundari Parvathysankar, D., Sundaram, A., & Asir Rajan Charles Gnanakkan, C. (2022). A hybrid Grasshopper Optimization Algorithm and Harris Hawks Optimizer for Combined Heat and Power Economic Dispatch problem. Engineering Applications of Artificial Intelligence, 111, Article 104753. https://doi.org/10.1016/j.engappai.2022.104753

The Combined Heat and Power Economic Dispatch (CHPED) is a real-world optimization problem with several complex constraints that has been a topic of studies around energy systems and optimization processes. This paper attempts to conceptualize a pote... Read More about A hybrid Grasshopper Optimization Algorithm and Harris Hawks Optimizer for Combined Heat and Power Economic Dispatch problem.

A ranking-based fuzzy adaptive hybrid crow search algorithm for combined heat and power economic dispatch (2022)
Journal Article
Ramachandran, M., Mirjalili, S., Malli Ramalingam, M., Asir Rajan Charles Gnanakkan, C., Sundari Parvathysankar, D., & Sundaram, A. (2022). A ranking-based fuzzy adaptive hybrid crow search algorithm for combined heat and power economic dispatch. Expert systems with applications, 197, Article 116625. https://doi.org/10.1016/j.eswa.2022.116625

This paper attempts to obtain optimal generation scheduling for Combined Heat and Power Economic Dispatch (CHPED) problems and seeking a possible solution for the global optimization of test systems. As such, a Fuzzy adaptive Ranking- based Crow Sear... Read More about A ranking-based fuzzy adaptive hybrid crow search algorithm for combined heat and power economic dispatch.