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Author: Rahiman Zahira

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Expert guidance on technologies to build the Internet of Things (IoT) from electrical engineering and power industry perspectives IoT for Smart Grid presents advanced Internet of Things (IoT) technologies that are utilized in various aspects of smart electrical systems, especially monitoring, diagnosis, automation, and industrial evolution, from the point of view of both electrical engineering and power industry facilities and resources. The book describes how IoT has expanded the use of wireless sensor networks (WSN) to play a vital role in connecting power industry facilities and resources to reduce energy consumption and costs. It also explores concepts of e-mobility that include smart parking, vehicle monitoring, and charging, and considers future challenges such as security and privacy concerns in transactive systems and scalability and standardization issues. Later chapters describe communication protocols for transactive IoT, smart grid integration, cybersecurity challenges, smart energy management, and more. Relevant examples and practical case studies are included to enrich and reinf

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【One-Line Pitch】 A practical engineering guide to how IoT sensing, communication, and analytics are wired into modern power systems—from smart metering and grid monitoring to e-mobility and transactive energy. Best for electrical/power engineers, IoT architects, and graduate students who need the grid-side view rather than a generic IoT primer. 【Book Arc】 - **Opening (~0%–10%)**: Frames the book's scope and lays out the technology stack—IoT platforms, sensor categories, debugging/energy-profiling/network-analysis tools, and the communication menu (BLE, Zigbee, LoRaWAN, NB-IoT, LTE-M, 5G NR, Ethernet) plus protocols like MQTT and CoAP. Solves the "what are the building blocks" problem before any grid specifics. - **Early (~10%–32%)**: Introduces IoT fundamentals—device interconnection, data sharing, architecture requirements (interoperability, scalability, dynamics, self-adaptation)—and positions smart grids among other application domains. Establishes vocabulary and design constraints. - **Middle (~32%–50%)**: Moves into design practice and wireless sensor networks: secure-by-design, data management, scalability planning, 6LoWPAN device roles (FFD/RFD, coordinators, gateways), and network management via SNMP/MIB integration. Also surveys cross-domain sensor applications (environmental, industrial, healthcare) as reference models. - **Late (~50%–80%)**: Applies IoT to the grid itself—real-time monitoring, grid analytics and data-driven decisions, control, optimization, planning, consumer engagement, resilience/disaster management, and asset maintenance—then examines implementation challenges and the economics of IoT-enabled grids (pricing models, generation/wheeling/ancillary costs). - **Ending (~80%–100%)**: Covers transactive systems (prosumers, decentralized markets, dynamic pricing, smart contracts, grid-edge intelligence), communication protocols for transactive IoT, cybersecurity and privacy concerns, smart energy management, and e-mobility—connected vehicles, telematics, V2I, and IoT-enabled charging infrastructure. 【Key Takeaways】 - **IoT in the grid is a monitoring-and-diagnosis play first** (Opening): the book's core value is using sensing and analytics for grid visibility, automation, and maintenance rather than speculative consumer gadgetry. - **Communication choice is a design decision, not a default** (Opening): BLE, Zigbee, LoRaWAN, NB-IoT, LTE-M, 5G NR, Ethernet, MQTT, and CoAP each carry range, power, and bandwidth trade-offs that must match the grid use case. - **WSN reliability depends on network management, not just radios** (Middle): 6LoWPAN's FFD/RFD roles, coordinators, and gateways—plus SNMP-to-UDP translation and standardized MIBs—are what make low-power networks monitorable with existing tools. - **Security and scalability belong at the design stage** (Middle): the book repeatedly stresses early security integration, hardware-plus-software protection, and designing for device growth without performance loss. - **Transactive energy reframes the grid as a market** (Late): prosumers, decentralized energy markets, dynamic pricing, smart contracts, and grid-edge intelligence are the components that turn IoT data into economic signals. - **Economics decide adoption** (Late): pricing models, generation costs, wheeling costs, and ancillary services are treated as first-class concerns, not afterthoughts. - **E-mobility is an IoT subsystem of the grid** (Ending): in-vehicle sensors (battery health, motor performance, energy consumption), telematics, V2I communication, and smart charging stations connect vehicles to grid operations. - **Open challenges remain unresolved** (Ending): security and privacy in transactive systems, plus scalability and standardization, are flagged as the field's live problems rather than solved items. 【Reading Tips】 - Read the opening technology survey as a reference shelf, not linearly—bookmark the communication/protocol tables and return when a later chapter names a technology. - Deep-read the WSN management and 6LoWPAN/SNMP sections if you work on constrained networks; skim the cross-domain sensor examples (healthcare, agriculture) unless you need analogy material. - The economics and transactive-market chapters reward readers with a power-systems background; if you lack one, read them for concepts (prosumers, dynamic pricing) and skip the cost breakdowns on a first pass. - Treat the e-mobility and occupancy-detection material as applied case studies—useful for seeing how sensing plus analytics becomes a deployed service. - Keep a running list of the stated challenges (security, privacy, scalability, standardization); they make good discussion or research prompts. 【Coverage Limits】 This guide is synthesized from stratified excerpts covering the front matter, table of contents, and selected early-to-middle sections; the later chapters on transactive protocols, cybersecurity, smart energy management, and e-mobility are represented mainly through contents listings and brief passages, so their internal detail is not fully reflected here.
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of IoT Platforms 34 2.8.1.1 Smart Home Automation 34 2.8.1.2 Industrial Automation 35 2.8.1.3 Healthcare 35 2.8.1.4 Transportation 36 2.8.2 Practical Applica...
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gineering with Elsevier and Wiley-IEEE Press, notably “Fast charging infrastructure for electric and hybrid electric vehicles” by Wiley-IEEE Press in 2023 an...
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and key challenges. Proc. 10th Int. Conf. FIT. pp. 257–260. 7 Gubbi, J., Buyya, R., Marusic, S., and Palaniswami, M. (2013). Internet of Things (IoT): a visi...
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bining advanced operational and informational architectures. By automating network discovery, categorizing devices, standard- izing MIB structures, and promo...
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lectricity market with the usage of transactive power ideas. This mission makes use of IoT devices to provide actual-time records on power production and con...
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: Merging Transactions and Connectivity Software components User interface and Energy Data analytics and Blockchain and Cybersecurity mobile management ML al...
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egulations such as the EU’s GDPR. This encompasses personal details like name, address, phone number, medical information, and other pertinent data [4, 50]....
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und cables PV pannels Wind farms Power flow System topology information intelligent reconstruction Operation Distributed information generators and load Load...
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AI categories
IoTSmart GridElectrical Engineering
Publish Year: 2025
Language: English
File Format: PDF
File Size: 9.7 MB
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