2481 Courses near Hertfordshire

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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

About this Virtual Instructor Led Training (VILT) This 5 half-day Virtual Instructor Led Training (VILT) course will assist energy professionals in the planning and operation of a power system from renewable energy sources. The VILT course will discuss key operating requirements for an integrated, reliable and stable power system. The unique characteristics of renewable energy are discussed from a local, consumer centric and system perspective, bringing to life the ever-changing paradigm in delivering energy to customers. The course will explore the technical challenges associated with interconnecting and integrating hundreds of gigawatts of solar power onto the electricity grid in a safe and reliable way. With references to international case studies, the VILT course will also demonstrate the state of the art methodologies used in forecasting solar power. The flexibility of the invertor-based resources will facilitate higher penetrations of photovoltaic, battery electricity storage systems and demand response while co-optimizing customer resources. The contribution of inverter-based generators that provides voltage support, frequency response and regulation (droop response), reactive power and power quality with a high level of accuracy and fast response will be addressed. Furthermore, this VILT course will also describe how microgrids' controllers can allow for a fully automated energy management. Distributed energy resources are analyzed in detail from a technical and financial aspect and will address the best known cost based methodologies such as project financing and cost recovery. Training Objectives Upon completion of this VILT course, participants will be able to: Learn about renewable energy resources, their applications and methods of analysis of renewable energy issues. Review the operational flexibility of renewable energy at grid level, distribution network and grid edge devices. Understand and analyze energy performance from main renewable energy systems. Get equipped on the insights into forecasting models for solar energy. Predict solar generation from weather forecasts using machine learning. Explore operational aspects of a complex power system with variability from both the supply & demand sides. Manage the impact of the design of a Power Purchase Agreement (PPA) on the power system operation. Target Audience Engineers, planners and operations professionals from the following organizations: Energy aggregators who would like to understand the system operations of renewable energy power plants Renewable energy power system operator Energy regulatory agencies who aim to derive strategies and plans based on the feedback obtained from the power system operations Course Level Basic or Foundation Training Methods The VILT course will be delivered online in 5 half-day sessions comprising 4 hours 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

DWDM training course description A concise overview of Wave Division Multiplexing (WDM) with both Coarse Wave Division Multiplexing (CWDM) and Dense Wave Division Multiplexing (DWDM) being covered. The course starts with a review of the relevant elements of fibre transmission and multiplexing before then studying WDM components and architectures. Reliability, resilience and management are then followed by WDM services and futures. What will you learn Explain the benefits of WDM. Describe Dispersion and four way mixing. Describe the different WDM equipment components. Describe different WDM architectures. Explain How DWDM works. DWDM training course details Who will benefit: Anyone working with CWDM/DWDM. Prerequisites: Telecommunications Introduction Duration 2 days DWDM training course contents Fibre communications review Optical transmission, Fibre characteristics, Fibre component parts. Multi Mode Fibre (MMF). Single Mode Fibre (SMF). Fibre connections. Lasers. Attenuations, dispersion, optical signal noise ratios (OSNR) and their effects. Channel Spacing and Signal Direction. Limiting factors to single wavelength. WDM overview Multiplexing, TDM, WDM benefits. WDM standards. CWDM vs. DWDM. Four Wave Mixing (FWM). Impact and countermeasures to FWM on WDM. CWDM ITU G.694.2, channels, channel spacing. DWDM ITU G.694.1, channels, channel spacing. WDM Equipment Components Equipment components and building blocks. Optical Terminal Multiplexers (OTM). Optical Add/Drop Multiplexers (OADM). Adding versus dropping. Optical Amplifiers. Erbium Doped Fibre Amplifiers (EDFA). Transponders and Combiners. WDM/DWDM Hubs. Optical and Electrical Cross Connects (OXCs/DXCs). Types of Cross Connects (Transparent/Opaque). Advantages and disadvantages of various Optical cross connects. WDM Architectures WDM network sections. Point-to-Point, Optical switches, mesh, ring and star topology. Example of combined WDM and other technology network. Wavelength converting transponders, 1R, 2R, 3R. Protection for WDM Sub 50ms failover. Equipment protection. Card protection. Y cable, Splitter protection. Far end laser control. Line protection. OMSP 1+1, OMSP 1:1, OMSP 1: N. Self healing optical ring. Sub Network Connection Protection (SNCP). Automatically Switched Optical Networks (ASON). WDM Management Options In band management. Out of band management. The Optical Supervisory Channel (OSC). OSC capabilities. WDM services WDM Access. Bit rates, Transparent Networks. Modulation, DQPSK. SDH over WDM. Migrating from SDH to DWDM. Ethernet over WDM, IP over WDM. Optical Transport Networks G.709, 'digital wrapper', Optical Channel Payload Unit (OPU), Optical Channel Transport Unit ( OTU), Optical Channel Data Unit (ODU). OTU1, OTU2, OTU3, OTU4. WDM Futures All optical amplification, Raman amplification, distributed, lumped. Bit rates. Solitons. Coherent technologies.

UNIX shell programming training course description This course has been designed as a follow on course for the XML primer course. The course looks at the use of XSLT in the transforming and styling XML documents. What will you learn Read shell scripts. Write shell scripts. Use different types of quotes. Recognise the role of shell scripts within the UNIX system. UNIX shell programming training course details Who will benefit: Programmers developing programs under UNIX. Anyone working with XML. Administrators Support personnel who wish to find out more about the workings of UNIX or write simple utility programs. Prerequisites: UNIX fundamentals Some programming experience would be useful although not essential. Duration 2 days UNIX shell programming training course contents Review of UNIX fundamentals Basic shell scripts What does the shell do? How are commands executed? Different shells. What is a shell script? Comments, creating shell scripts. Variables Setting variables, using variables, set, scope, export, sourcing, environmental variables, read. Positional parameters 0 to $9, $#, $* and others. shift parameter substitution. Control statements The test command, The if statement, while loops, for loops, The case statement, Special characters, Redirection of errors, here documents, quoting. Arithmetic in shell scripts The expr command. System shell scripts Screen handling The terminfo database The tput comand Avanced issues (optional session) Shell functions, getopts, xargs, debugging shell scripts, portability issues. Extras in the Korn shell. Optimising shell scripts The time command, performance tips.

Advanced Kibana training course description This training course is aimed at users who already have some experience with Kibana, who are looking to further their knowledge. What will you learn Lens Timelion Maps Custom Visualisations with Vega Canvas Filters and Controls Drilldown and Dashboards KQSL and ElasticQueries Scripted and RunTime Fields Alerts and Alarms Advanced Kibana training course details Who will benefit: Users who already have some experience with Kibana, who are looking to further their knowledge. Prerequisites: None Duration 1 day Advanced Kibana training course contents Topics Lens Visualisation types (tables,bars,charts) Category breakdown Adding multiple metrics Using formulas in metrics Labels Adding reference layer Limitations Visualise Library Timeseries, Metrics Different types of aggregations Maps GeoMapping Heat Maps Using ES index as data source Visualisation, tool tips Custom Visualisations with Vega Introduction to vega scripting Canvas Widgets and Texts Elasticsearch SQL Canvas Expressions Filters and Controls Dropdown filters Ad-hoc filters Searchbar filters Drilldown Dashboards Linking one dashboard to another KQSL and ElasticQueries Bool Query AND/OR Phrase Part match vs keyword search Wildcard search Scripted and RunTime Fields Creating ad-hoc calculated fields using scripts Performance issues Alerts and Alarms Query Based Formatting output Connector types(email,index,teams etc)

Cloud technologies training course description This course provides an introduction to cloud technologies, including, configuration and deployment, security, maintenance, and management. It covers all aspects of cloud computing infrastructure. It will help you to master the fundamental concepts, terminology, and characteristics of cloud computing. . What will you learn Contrast and compare AWS, GCP and Azure. Explain the different cloud services, models and characteristics. Explain cloud virtualization components and options. Explain cloud security options. Describe cloud automation, orchestration, monitoring and performance options. Cloud technologies training course details Who will benefit: Anyone working with or looking to work with cloud technologies. Prerequisites: None. Duration 2 days Cloud technologies training course contents What is the cloud? The Internet Cloud computing Benefits Disadvantages Cloud services IaaS, PaaS, SaaS, others. Cloud service providers AWS, GCP Microsoft Azure, others Cloud architectures Private, public, hybrid others Cloud based delivery The cloud and virtualization Virtual Machines, networks, storage, deployment. Accessing the Virtual Machine Secure cloud environments Security considerations. Data privacy considerations Automation and orchestration Monitoring and performance Performance Cost issues Cost containment

SDH training course description Our SDH training course is designed for those with a basic knowledge of the principles of telecommunication digital transmission techniques. An overview of the existing transmission hierarchies and their limitations is provided with an introduction to the Synchronous Digital Hierarchy (SDH). The advantages of SDH are explained fully. What will you learn Identify the major limitations of the PDH network. Outline the advantages of using the SDH. Illustrate the various SDH equipment and network topologies. Describe the principles of the SDH multiplexing structure. SDH training course details Who will benefit: Anyone working with SDH. Prerequisites: It should be noted that this course will assume some basic telecommunication transmission knowledge from the delegates attending. This may be accomplished by attending the Introduction to Telecommunications course. Duration 2 days SDH training course contents Introduction to SDH Timing and synchronisation of digital signals, the plesiochronous digital hierarchy (PDH), the synchronous digital hierarchy (SDH), service protection with SDH SDH Multiplexing Techniques The multiplexing principles of SDH, mapping and aligning a 2Mbit/s tributary into a TU-12, aligning the VC-12 in a TU-12, multiplexing TU-12's into a TUG-2, multiplexing TUG-2's into a TUG-3, multiplexing TUG-3's into a VC-4, the VC-4 path overhead, the STM-1 frame, the AU-4 pointer, the STM-1 section overheads, multiplexer section protection, transmission at rates higher than STM-1, concatenation line transmission functions in SDH SONET Multiplexing Techniques Mapping a DS1 tributary into a virtual tributary, aligning the VT-SPE into a VT frame, mapping the VTGs into a STS-1 SPE, the STS-1 synchronous payload envelope, the STS-1 frame SONET network sections and lines transmissions at higher rates than STS-1 SDH Functions and Facilities SDH network topologies, structure of SDH equipment, synchronisation of SDH networks, protection switching in SDH networks, SDH alarm structure, SDH performance monitoring, testing of SDH, equipment and systems, network management and SDH, asynchronous transfer mode (ATM), future services and technologies OSI Telecommunications Network Management Definition of network management, managing telecom equipment, the managed object library, the management information base, the telecommunications management network (TMN), the Q3 protocol.

Mobile comms training course description A complete overview of mobile communications covering all the major technologies in a 2-day format. What will you learn GSM GPRS UMTS LTE Alternative mobile strategies Mobile comms training course details Who will benefit: Anyone involved in mobile communications. Prerequisites: None. Duration 2 days Mobile comms training course contents Introduction Telephony, RF, mobile and wireless technologies, distances, mobile phone generations, base stations, cells, frequencies, cell types, MSC, handoffs, channels, internetworking, the Internet, wireless Internet access. UK operators, worldwide operators. GSM What is it? Timeline, digitising voice, channels, GSM architecture, Abis, A, Um, MS, BTS, BSC, MSC, HLR, VLR, EIR, AuC. Radio link aspects, GSM signalling overview, signalling protocols, roaming, GSM call flows, authentication. IMEI. SIM cards. GPRS What it is, 2G to 3G, GPRS user features, GPRS network features, GPRS elements, GPRS architecture, overlay, SGSN, GGSN, GPRS ATTACH, GPRS protocol stack, GPRS timeslots, EDGE, GPRS classes, GPRS routing, GPRS packet format. UMTS and 3G What is 3G? IMT-2000, 3G proposals, what is UMTS? Speed comparison, evolution to 3G, CDMA, CDMA 2000, W-CDMA, UMTS components, UMTS infrastructure, RNC, Node B, network architecture, packet switched attach, mobility in 3G, HSDPA. LTE and 4G LTE architecture and principles, Physical layer, Air interface, E-UTRAN, Evolved packet core, service provision. Other wireless solutions Integration of services, Bluetooth, Blackberry, VoIP, Mobile IP, 802.11, WiFi, 802.16, WiMax, What is 5G?