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320 results on '"Ongsakul, Weerakorn"'

6. Simulation of Blockchain based Power Trading with Solar Power Prediction in Prosumer Consortium Model

Author

Thu, Kaung Si and Ongsakul, Weerakorn

Subjects
Electrical Engineering and Systems Science - Systems and Control
Abstract

Prosumer consortium energy transactive models can be one of the solutions for energy costs, increasing performance and for providing reliable electricity utilizing distributed power generation, to a local group or community, like a university. This research study demonstrates the simulation of blockchain based power trading, supplemented by the solar power prediction using MLFF neural network training in two prosumer nodes. This study can be the initial step in the implementation of a power trading market model based on a decentralized blockchain system, with distributed generations in a university grid system. This system can balance the electricity demand and supply within the institute, enable secure and rapid transactions, and the local market system can be reinforced by forecasting solar generation. The performance of the MLFF training can predict almost 90% accuracy of the model as short term ahead forecasting. Because of it, the prosumer bodies can complete the decision making before trading to their benefit.

Published
2020
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7. Transition of University to Prosumer Consortium Energy Model

Author

Thu, Kaung Si, Aung, Min Set, Ongsakul, Weerakorn, and Manjiparambil, Nimal Madhu

Subjects
Physics - Physics and Society, Electrical Engineering and Systems Science - Signal Processing
Abstract

The conventional electricity grid system has many critical issues, which could lead to power instability, blackout, and many other issues. One main perspective is to consume the relative amount of distributed renewable energy in the adaptation system. Prosumer Consortium Model in a small community can be one of the solutions to reduce the price of electricity, increase efficiency and provide a better electronification for University, moreover, to solve the frequent blackout of electricity at university level in developing countries. It can be the learning opportunity for the researchers as well as the complementary benefit for the consumers inside university's grid., Comment: The First National Conference on Engineering Research

Published
2020

13. Machine Learning Approach to Predict the Second-Life Capacity of Discarded EV Batteries for Microgrid Applications

Author

Bhatt, Ankit, Ongsakul, Weerakorn, Madhu, Nimal, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Vasant, Pandian, editor, Zelinka, Ivan, editor, and Weber, Gerhard-Wilhelm, editor

Published
2021
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14. Laboratory-Scale Implementation of Ethereum Based Decentralized Application for Solar Energy Trading

Author

Thupphae, Patiphan, Ongsakul, Weerakorn, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Vasant, Pandian, editor, Zelinka, Ivan, editor, and Weber, Gerhard-Wilhelm, editor

Published
2021
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16. List of contributors

Author

Akbari, Asghar, primary, Arasteh, Hamidreza, additional, Arthur, Rangel, additional, Ayyagari, Krishna Sandeep, additional, Balasubramania, Kishore, additional, Chitra, L., additional, Ezhilarasi, G., additional, França, Reinaldo Padilha, additional, Goodwin, Morten, additional, Husain, Shujaat, additional, Iano, Yuzo, additional, Johannesen, Nils Jakob, additional, Shihabudheen, K.V., additional, Kazemi-Robati, Ehsan, additional, Khezri, Rahmat, additional, Khooban, Mohammad Hassan, additional, Kodeeswaran, S., additional, Kolhe, Mohan Lal, additional, Kothari, D.P., additional, Koti Reddy, B., additional, Lakshmi, D., additional, Mahmoudi, Amin, additional, Medam, Raveendra Reddy, additional, Monteiro, Ana Carolina Borges, additional, Nandhini Gayathri, M., additional, Nimal Madhu, M., additional, Ongsakul, Weerakorn, additional, Pandey, Utkarsh, additional, Pathak, Anshumaan, additional, Ravi, C.N., additional, Sheik Mohammed, S., additional, Sharmeela, C., additional, Shrivastava, Nitin Anand, additional, Singh, Jai Govind, additional, Sivaraman, P., additional, Tiwari, Shubham, additional, Vahidinasab, Vahid, additional, and Zahira, R., additional

Published
2022
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19. Optimal Power Flow Considering Cost of Wind and Solar Power Uncertainty Using Particle Swarm Optimization

Author

Samakpong, Titipong, Ongsakul, Weerakorn, Nimal Madhu, Manjiparambil, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Vasant, Pandian, editor, Zelinka, Ivan, editor, and Weber, Gerhard-Wilhelm, editor

Published
2020
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20. Mode decomposition-based short-term multi-step hybrid solar forecasting model for microgrid applications.

Author

Nahid, Firuz Ahamed, Ongsakul, Weerakorn, Manjiparambil, Nimal Madhu, Singh, Jai Govind, and Roy, Joyashree

Subjects
*CLEAN energy, *RENEWABLE energy sources, *MICROGRIDS, *HILBERT-Huang transform, *SOLAR radiation, *CARBON offsetting, *FORECASTING
Abstract

A sustainable energy sector and achieving carbon neutrality in microgrids require a firm commitment to renewable energy resources. A sharp focus on solar energy holds the most promising potential for a low-carbon energy pathway. Efficient and optimal energy management application in the case of such microgrid systems requires the development of an accurate forecasting technique. A significant obstacle in creating such an accurate prediction tool is the intermittent nature of solar energy. To address this challenge, this research proposes a novel threefold hybrid model that integrates empirical mode decomposition (EMD), convolutional neural networks (CNN), and long short-term memory (LSTM) neural networks to forecast solar radiation up to three steps ahead. We do this utilizing two distinct solar radiation datasets obtained from two different sites in Thailand: one at 30-min intervals and the second one at 15-min intervals. To assess the forecasting capabilities of the proposed model, this study has carried out a comprehensive analysis by comparing it to six alternative models considering hybrid and stand-alone options. The proposed model outperformed them all, establishing its supremacy with the lowest mean absolute error (MAE), root-mean-square error (RMSE), and mean absolute percentage error (MAPE), additionally, ensuring that it meets the industry standards for forecasting applications. The proposed model's effectiveness in accurately predicting solar radiation has been successfully tested for a microgrid case study site in Thailand which supplies power to a business complex and uses the innovative Green Energy Management System (GEMS) developed by Leonics Co. Ltd. [ABSTRACT FROM AUTHOR]

Published
2024
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