3309 Bar courses in Cardiff delivered Online

Managing Benefits™ Foundation: In-House Training The APMG International Managing Benefits and Swirl Device logo is a trademark of The APM Group Limited, used under permission of The APM Group Limited. All rights reserved. Benefits are not simply just one aspect of project and programme management (PPM) - rather, they are the rationale for the investment of taxpayers' and shareholders' funds in change initiatives. Managing Benefits is designed to complement existing best practices in portfolio, programme and project management (such as PRINCE2®, MSP®, P3O® & MoP®), and consolidates existing guidance while expanding on the specific practices and techniques aimed at optimizing benefits realization. The purpose of the Managing Benefits guidance and certification scheme is to provide you with generally applicable guidance encompassing benefits management principles, practices, and techniques, and to prepare you to take and pass the Foundation exam on the last day. Managing Benefits provides: An overview of benefits management - what it is, the case for doing it, and some common misconceptions that can limit its effectiveness in practice Descriptions of the seven principles upon which successful approaches to benefits management are built, and examples of how they have been applied in practice Guidance on how to apply benefits management at a portfolio level, as well as at an individual project or programme level Details of the five practices in the Benefits Management Cycle and examples of how they have been applied in practice Advice on how to get started in implementing effective benefits management practices and sustain progress What You Will Learn You'll learn how to: Define benefits, benefits management and related terms, and the objectives of benefits management Explain the principles upon which successful approaches to benefits management are based Define the practices contained within the Benefits Management Cycle and relevant techniques applicable to each practice Describe key elements of portfolio-based benefits management, as well as the scope of key roles and responsibilities for benefits management and the typical contents of the main benefits management documentation Identify barriers to effective benefits management and strategies to overcome them, including the key success characteristics of benefits management Improve your ability to pass the APMG Managing Benefits Foundation Certification exam Getting Started Introductions Course structure Course goals and objectives Overview of Managing Benefits The Benefits Management Model Key Benefits Management Practices What is Benefits Management? Definitions Value and Value Management Why do we need benefits management? Objectives Benefits Management Principles Align benefits with strategy Start with the end in mind Utilize successful delivery methods Integrate benefits with performance management Manage benefits from a portfolio perspective Apply effective governance Develop a value culture The Benefits Management Cycle Barriers to effective and efficient benefits management and overcoming them Key success characteristics of effective benefits management Key roles, responsibilities, and documentation Benefits Management Practice 1 - Identify and Quantify Benefits Management Practice 2 - Value and Appraise Benefits Management Practice 3 - Plan Benefits Management Practice 4 - Realize Benefits Management Practice 5 - Review Portfolio-based Benefits Management Implementing and Sustaining Progress APMG Managing Benefits Foundation Exam

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

The course covers research design principles and all main quantitative evaluation methods: randomised experiments, instrumental variables, sharp and fuzzy regression discontinuity designs, regression methods, matching methods and longitudinal methods (before-after, difference-in-differences and synthetic controls).

The course covers research design principles and all main quantitative evaluation methods: randomised experiments, instrumental variables, sharp and fuzzy regression discontinuity designs, regression methods, matching methods and longitudinal methods (before-after, difference-in-differences and synthetic controls).

The course covers research design principles and all main quantitative evaluation methods: randomised experiments, instrumental variables, sharp and fuzzy regression discontinuity designs, regression methods, matching methods and longitudinal methods (before-after, difference-in-differences and synthetic controls).

The course covers research design principles and all main quantitative evaluation methods: randomised experiments, instrumental variables, sharp and fuzzy regression discontinuity designs, regression methods, matching methods and longitudinal methods (before-after, difference-in-differences and synthetic controls).

The course covers research design principles and all main quantitative evaluation methods: randomised experiments, instrumental variables, sharp and fuzzy regression discontinuity designs, regression methods, matching methods and longitudinal methods (before-after, difference-in-differences and synthetic controls).

The course covers research design principles and all main quantitative evaluation methods: randomised experiments, instrumental variables, sharp and fuzzy regression discontinuity designs, regression methods, matching methods and longitudinal methods (before-after, difference-in-differences and synthetic controls).

The course covers research design principles and all main quantitative evaluation methods: randomised experiments, instrumental variables, sharp and fuzzy regression discontinuity designs, regression methods, matching methods and longitudinal methods (before-after, difference-in-differences and synthetic controls).

About this Virtual Instructor Led Training (VILT) The objective of this 4-half-day Virtual Instructor Led Training (VILT) course is to equip participants with the required knowledge so that they can define and implement an effective oil analysis programme, monitor the condition of transformers and understand oil analysis reports as part of their maintenance strategy. This VILT course is delivered in partnership with ENGIE Laborelec. Training Objectives Participants will be able to go through the following areas during the VILT course: Condition monitoring of power transformers through oil analyses: Transformer Health Index, Transformer Fleet Condition Assessment, Risk Matrix Best practices Which oil analyses/how frequent DGA: focus on partial discharges, sparking, stray gassing, catalytic effects / interpretation systems. Interpretation of results Why and when to perform electrical measurements? International standards: IEEE, IEC, Duval, ASTM, etc Maintenance guidelines Trending and reporting Sampling techniques Use of online monitoring for DGA/water: implementation and real-case advantages etc: New developments: importance of methanol as ageing marker, temperature correction of ageing markers, stray gassing of oils in service etc REX, case studies and real-case exercises concerning power transformers within generation and high-voltage grids Discussion of reports on power transformers Use of unused insulating transformer oils Market trends in the use of inhibited and uninhibited oils Differences, advantages and drawbacks of uninhibited compared with inhibited oils Importance of additives, oxidation stability tests, stray gassing, etc Target Audience The VILT course is intended for a wide audience, including professionals who are maintenance staff, electrical engineers and asset managers responsible for transformers. Typical industries are powerplants, high voltage grids or large industrial sites. Course Level Basic or Foundation Training Methods The VILT course will be delivered online in 4 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: 4 half-day sessions, 4 hours per session (16 hours in total). This VILT course is delivered in partnership with ENGIE Laborelec. Trainer Your expert course leader is a senior expert in the field of insulating and lubricating oils and of condition monitoring of power transformers and turbines. He has 20 years of experience within power industry and since 2010 Key Expert within the ENGIE group. He has worked on various international projects such as the Al Dur power plant in Bahrain, Shuweihat II power plant in UAE, PP11 and Jubail Marafiq power plants in Saudi Arabia and Sohar II and Barka III power plants in Oman. He has also been involved in consulting work in Malaysia for Hyrax Oil. Other assignments include Shell, Nynas, Total, ABB, Alstom, CG Pauwels in Europe. 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