Overview

Cut waste. Lower costs. Decarbonize-using AI that turns data into decisions. In AI for Energy: Optimizing Resources with Intelligence, you'll learn how to design and deploy AI systems that forecast demand, balance supply, tame peak loads, and squeeze more performance from buildings, microgrids, and utility-scale assets. This practical guide walks you end-to-end-from data pipelines and models to control loops and real-world operations-so your projects deliver measurable savings and measurable carbon reductions. Inside, you'll discover how to: Build robust energy datasets from meters, SCADA, BMS, and IoT sensors-cleaning, syncing, and feature-engineering time series the right way. Forecast demand and generation (short-term to seasonal) with proven ML/DL patterns-and quantify uncertainty so operators can trust the calls. Design demand response strategies that automate curtailment while protecting comfort and critical processes. Optimize HVAC, chillers, boilers, and lighting with model-predictive control and reinforcement learning for real savings without complaints. Dispatch batteries, solar, and DERs for peak shaving, arbitrage, resiliency, and frequency support-on sites and across fleets. Plan and manage EV charging to avoid demand spikes and align with low-carbon or low-price windows. Run microgrids and VPPs with AI scheduling that respects constraints, tariffs, and carbon intensity signals. Detect faults and anomalies early (leaks, stuck dampers, sensor drift) and prioritize maintenance by impact. Operationalize with MLOps for energy: monitoring, drift and seasonality handling, cost/benefit tracking, and human-in-the-loop overrides. Align with compliance and sustainability: audits, M&V, and transparent metrics that finance and regulators accept. You'll get step-by-step workflows, reusable model templates, and deployment checklists-plus field lessons from buildings, campuses, industrials, and grid-scale programs. If you need AI that saves kilowatts, dollars, and CO₂ (in that order), this book is your playbook. Who This Book Is For Energy managers, facility teams, and ESCOs driving performance Utilities and aggregators orchestrating DR, DERs, and VPPs Data/ML engineers productizing energy analytics and control Sustainability leaders turning targets into verified outcomes Use less. Spend less. Emit less-by making your energy system smarter.

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