About this Virtual Instructor Led Training (VILT) This Virtual Instructor Led Training (VILT) course presents advanced methodologies that implement demand response and energy conservation programs in light of the integration of new technologies, regulatory changes and the accelerated penetration of renewable energy resources. This VILT course provides examples and case studies from North American and European jurisdictions covering the operational flexibilities on the demand side including requirements for new building codes to achieve zero net energy. The course describes a public agency's goals and objectives for conserving and otherwise reducing energy consumption and managing its demand for energy. This course presents the demand response implemented for economics and system security such as system balancing and relieving transmission congestion, or for system adequacy. The course also presents the principal attributes of conservation programs and the associated success criteria. In a system with increased penetration of renewable resources, demand response provides flexibility to system operators, helping them to maintain the reliability and the security of supply. Demand response is presented as a competitive alternative to additional power sources, enhancing competition and liquidity in electricity markets. The unique characteristics are discussed from a local, consumer centric and also from a system perspective bringing to life the ever changing paradigm for delivery energy to customers. Interoperability aspects and standards are discussed, as well as the consumer centric paradigm of Transactive Energy with IOT enabled flexibilities at system level, distribution networks and microgrids. The VILT course introduces the blockchain as a new line of defense against cyber threats and its increasing application in P2P transactions and renewable certificates. Our trainer's industry experience spans three decades with one of the largest Canadian utilities where she led or contributed to large operational studies and energy policies and decades of work with IEEE, NSERC and CIGRE. Our key expert also approaches to the cross sectional, interdisciplinary state of the art methodologies brings real life experience of recent industry developments. Training Objectives Innovative Digital Technologies How systems Facilitate Operational Flexibility on the Demand Side The Ecosystem of Demand Side Management Programs Advanced Machine Learning techniques with examples from CAISO Regulatory Policy Context and how to reduce regulatory barriers Industry Examples from NERC and ENTSO Relevant Industry standards: IEEE and IEC Manage Congestion with Distributed Operational Flexibilities: Grid to Distribution Controls; examples from NERC (NA) and ENTSO (Europe) Grid solutions with IEC 61850 communication protocols Decentralized grid controls The New Grid with accelerated V2G and Microgrids How DSM is and will be applied in Your System: Examples and discussions Target Audience Regulators and government agencies advising on public energy conservation programs All professionals interested in expanding their expertise, or advancing their career, or take on management and leadership roles in the rapidly evolving energy sector Energy professionals implementing demand side management, particularly in power systems with increased renewable penetration, to allow the much needed operational flexibility paramount to maintaining the reliability and stability of the power system and in the same time offering all classes of customers flexible and economical choices Any utility professional interested in understanding the new developments in the power industry Course Level Basic or Foundation Training Methods The VILT course will be delivered online in 5 half-day sessions comprising 4 hours per day, with 2 x 10 minutes break per day, including time for lectures, discussion, quizzes and short classroom exercises. Course Duration: 5 half-day sessions, 4 hours per session (20 hours in total). Trainer Your first expert course leader is a Utility Executive with extensive global experience in power system operation and planning, energy markets, enterprise risk and regulatory oversight. She consults on energy markets integrating renewable resources from planning to operation. She led complex projects in operations and conducted long term planning studies to support planning and operational reliability standards. Specializing in Smart Grids, Operational flexibilities, Renewable generation, Reliability, Financial Engineering, Energy Markets and Power System Integration, she was recently engaged by the Inter-American Development Bank/MHI in Guyana. She was the Operations Expert in the regulatory assessment in Oman. She is a registered member of the Professional Engineers of Ontario, Canada. She is also a contributing member to the IEEE Standards Association, WG Blockchain P2418.5. With over 25 years with Ontario Power Generation (Revenue $1.2 Billion CAD, I/S 16 GW), she served as Canadian representative in CIGRE, committee member in NSERC (Natural Sciences and Engineering Research Council of Canada), and Senior Member IEEE and Elsevier since the 90ties. Our key expert chaired international conferences, lectured on several continents, published a book on Reliability and Security of Nuclear Power Plants, contributed to IEEE and PMAPS and published in the Ontario Journal for Public Policy, Canada. She delivered seminars organized by the Power Engineering Society, IEEE plus seminars to power companies worldwide, including Oman, Thailand, Saudi Arabia, Malaysia, Indonesia, Portugal, South Africa, Japan, Romania, and Guyana. Your second expert course leader is the co-founder and Director of Research at Xesto Inc. Xesto is a spatial computing AI startup based in Toronto, Canada and it has been voted as Toronto's Best Tech Startup 2019 and was named one of the top 10 'Canadian AI Startups to Watch' as well as one of 6th International finalists for the VW Siemens Startup Challenge, resulting in a partnership. His latest app Xesto-Fit demonstrates how advanced AI and machine learning is applied to the e-commerce industry, as a result of which Xesto has been recently featured in TechCrunch. He specializes in both applied and theoretical machine learning and has extensive experience in both industrial and academic research. He is specialized in Artificial Intelligence with multiple industrial applications. At Xesto, he leads projects that focus on applying cutting edge research at the intersection of spatial analysis, differential geometry, optimization of deep neural networks, and statistics to build scalable rigorous and real time performing systems that will change the way humans interact with technology. In addition, he is a Ph.D candidate in the Mathematics department at UofT, focusing on applied mathematics. His academic research interests are in applying advanced mathematical methods to the computational and statistical sciences. He earned a Bachelor's and MSc in Mathematics, both at the University of Toronto. Having presented at research seminars as well as instructing engineers on various levels, he has the ability to distill advanced theoretical concept to diverse audiences on all levels. In addition to research, our key expert is also an avid traveler and plays the violin. POST TRAINING COACHING SUPPORT (OPTIONAL) To further optimise your learning experience from our courses, we also offer individualized 'One to One' coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster. Request for further information about post training coaching support and fees applicable for this. Accreditions And Affliations
Helping people become more efficient in how they manage and prioritise their working day, and for leaders and managers, how they can work efficiently by collaborating effectively with their people.
Better Business Cases™ Practitioner: In-House Training: In-House Training Better Business Cases™ is based on the Five Case Model - which is the UK government's best practice approach to structuring spending proposals and making effective business decisions. Using this best-practice approach will allow organizations to reduce unnecessary spending and improve the decision-making process which gives you a greater chance of securing necessary funding and support for initiatives. The goal of the practitioner course is to develop a candidate's ability to deliver a comprehensive business case, through encouraging expanded knowledge to guide the practical application of theoretical foundations. Upon the completion of this Practitioner course, a candidate will be able to start applying the model to a real business case development project. What You Will Learn At the end of this program, you will be able to: Develop the lifecycle of a business case and to establish the relationships between the five cases Apply the steps in the business case development framework, in order to support the production of a business case, using the Five Case Model, for a given scenario Overview of Better Business Cases Alignment with the strategic planning process Importance of the Business Case using the Five Case Model Overview of the Five Case Model Purpose of the key stages in the development of a spending proposal Purpose of a Business Justification Case Business Case Development Process Purpose of project / programme assurance and assurance reviews Responsibility for producing the Business Case Determining the Strategic Context and Undertaking the Strategic Assessment Scoping the Scheme and Preparing the Strategic Outline Case Planning the Scheme and Preparing the Outline Business Case Procuring the Solution and Preparing the Full Business Case Implementation and monitoring Evaluation and feedback Making the Case for Change Agree on the strategic context Determine spending objectives, existing arrangements, and business needs Determine potential business scope and key service requirements Determine benefits, risks, constraint, and dependencies Exploring the Preferred Way Forward Agree on critical success factors Determine long list options and SWOT analysis Recommend a preferred way forward Determining Potential Value for Money Revisit the short list Prepare the economic appraisal for short-listed options Undertake benefits appraisal Undertake risk appraisal Select preferred option and undertake sensitivity analysis Preparing for the Potential Deal Determine the procurement strategy Determine service streams and required outputs Outline potential risk apportionment Outline potential payment mechanisms Ascertain contractual issues and accountancy treatment Ascertaining Affordability and Funding Requirement Prepare the financial model Prepare the financial appraisals Planning for Successful Delivery Plan programme / project management Plan change and contract management Plan benefits realization Plan risk management Plan programme / project assurance and post project evaluation Procuring the Value for Money Solution Revisit the case for change Revisit the OBC options Detail procurement process and evaluation of best and final offers (BAFOs) Contracting for the Deal Set out the negotiated deal and contractual arrangements Set out the financial implications of the deal Ensuring Successful Delivery Finalize project management arrangements and plans Finalize change management arrangements and plans Finalize benefits realization arrangements and plans Finalize risk management arrangements and plans Finalize contract management arrangements and plans Finalize post-project evaluation arrangements and plans