[Announcement] International Masterclass: IoT and AI for Energy Professionals

[RERIC RERIC]

REGISTER NOW			Date:	15 August 2020 (Saturday)
			Location:	Virtual/Webinar and  On-location (Asian Institute of Technology)
			Time:	08:30 to 17:00 (Thailand time)
			Language:	English
			Hosted by:	Asian Institute of Technology
			Fee:	Virtual/Webinar: 5,000 THB     On-location: 7,500 THB Special student rate (virtual attendance only): 3,500 THB
			Certificate of Participation:	Will be awarded
			Registration cut-off date:	07 August 2020 (Friday)
_Presented by_
		Dr. Warodom Khamphanchai, CEO and Co-Founder, AltoTech Co., Ltd.
		Dr. Khamphanchai is currently the CEO and Co-Founder of AltoTech Co., Ltd. an AI startup based in Bangkok, Thailand which aims to help over 34,000 hotels in Thailand (and later SEA) save money on electricity bills with IoT and Reinforcement Learning algorithms. Dr. Khamphanchai received his PhD from the Department of Electrical and Computer Engineering at Virginia Polytechnic Institute and State University, USA. His research interests are home/building automations, internet of things, multi-agent systems, machine learning, deep learning and their applications in the energy domain. He was also the software development engineer at Samsung SmartThings in Palo Alto, California. Aside from his full-time job,  Dr. Khamphanchai is the active member and the ambassador of Bangkok AI (bangkok.city.ai) where he helps run education and training initiatives with other city.ai ambassadors around the globe. He is also a certified computer vision instructor at the NVIDIA Deep Learning Institute.
		Prof. S. Kumar, Sustainable Energy Transitions Program, Asian Institute of Technology
		Sivanappan Kumar is Professor at the Sustainable Energy Transition Program, Department of Energy, Environment and Climate Change, School of Environment, Resources and Development, Asian Institute of Technology (AIT). In his academic career of nearly three decades, he has been involved in teaching, research, training, and outreach in the areas of renewable energy resources and technologies, energy efficiency, climate change and greenhouse gas mitigation, and energy and sustainable development. For more details, please visit https://faculty.ait.ac.th/kumar/.
_Background_
The Internet of Things (IoT) employs sensors and communication technologies to link appliances/equipment, people, data, and processes. This facilitates not only in the measurement, collection and processing of large amounts of energy and related data, but also provides for seamless communication with each other. The processing and transmission of real-time data that are collected from stand alone or built-in sensors, through the internet using wired or wireless communication enables fast computations and optimal decision-making to improve energy efficiency. Machine learning generally is through spotting patterns in large data sets and by generating new knowledge from this experience in the form of data. In the learning phase, the large sets of data are statistically-mined and algorithms get trained. The algorithms then apply their training to predict and forecast in the respective areas.  Thus, IoT and machine learning naturally blend to provide very useful and instructive outputs. For the energy sector, this arrangement or Internet of Energy (IoE) results in higher system efficiency, saving costs, reduced  time, convenience, among other benefits. The areas that are directly impacted are industries, electric utilities, transport, buildings and residences. This course has been designed to address the emerging and exciting applications of IoT in the energy sector.
_Major Course Objectives_
To explain the current status of energy use and underline the role of energy efficiency to address the energy and climate issues. To present recent developments in the IoT, AI and data analytics, specifically their applicability in the Energy sector. To practice and get started on basic programming (Python) and machine learning algorithms development using energy data. To illustrate how energy related data from IoT devices can be utilized to assess, evaluate and improve  energy use in various applications.
_Course Modality and Participation_
The class will be conducted by Hybrid Instruction - streaming an on-location (at the Asian Institute of Technology campus in Pathumthani, Thailand) training virtually in an online webinar. In other words, some participants will be in the AIT campus taking in-person classes, while those who cannot come to the campus (from far provinces and outside Thailand) can join and learn online. Only a limited number of participants will be accommodated so that all the participants (on-location and online) will have a productive learning experience.
_Suggested Background_
Participants with an Engineering / Science background will be preferred. Knowledge of coding will be an advantage (though not a requirement).
_Course Outline_
	Session 1: Energy in the 2020s  Introduction to energy, climate change and the SDGs. Key issues in renewable energy and energy efficiency technologies Energy performances (at various levels) and their improvements   Session 2: Artificial Intelligence (AI) for energy applications  Introduction to AI for energy professionals. AI: current state of art and what it can deliver? Selected AI applications in the energy industry.   Session 3: Machine learning modules for energy systems  Machine learning background, essential tools and libraries Machine Learning Algorithms reviews in Python Demonstration of smart application using Python and Scikit-Learn   Session 4: Internet of Energy (IoE)  Internet of Things (IoT) introduction, basic components, hardware classification and programming languages. Elements, platforms and architecture of IoT. Enabling technologies of IoT for energy industry applications and for end users.   Session 5: AI and IoE: Design and Theory Energy audits Renewable energy forecasting   Session 6: AI and IoE applications  Improving energy performance Solar PV forecasting Other selected applications
Managed by: Regional Energy Resources Information Center (RERIC) Sustainable Energy Transitions Program Department of Energy, Environment, Resources, and Development Asian Institute of Technology, PO.Box 4, Klong Luang, Pathumthani, 12120, Thailand E-mail: enr...@ait.ac.th; Tel: 66 (2) 524 5413, 6216; Fax: 66 (2) 524 5439
REGISTER NOW

UNSUBSCRIBE? Please click here

[RERIC RERIC]