Using AI to Improve Energy and Utilities Operations
In this episode, we discuss energy challenges and how AI will help utilities create...
INCREASE GRID RELIABILITY Increase your ability to prevent blackouts, autonomous operation if isolated from the main grid, confidently manage highly variable loads. | |
REDUCE OPERATIONAL COSTS Increase longevity of your grid assets, reduce maintenance costs, lower generation and wholesale power purchase costs. | |
IMPROVE CAPACITY PLANNING Determine optimal renewable energy source mix for each site. |
UNCOVER NEW REVENUE STREAMS Value stack assets to increase revenue opportunities, provide frequency support services. | |
DECREASE CO2 EMISSIONS Optimize DER planning with predictability, maximize renewable dispatch to reduce reliance on fossil fuels. | |
We are going through the energy transition. The global energy sector is shifting away from fossil-based systems of energy production and consumption. Instead, they are adopting green energy sources and new forms of energy storage. However, these energy sources are unpredictable and less reliable, causing energy supply and demand imbalances. As a result, the grid stability, customer satisfaction and your company profitability are all affected. The energy sector urgently needs solutions to make green energy more predictable, reliable, and cost effective and AI is the answer.
Harness the power of AI to optimize your energy assets in real-time. Use Veritone’s AI-powered Optimizer to deliver energy efficiently, ensuring grid resilience in the face of the unexpected.
The AI-powered Optimizer uses domain rules, highly accurate energy forecasts, historical and sensor data to produce the optimal dispatch model at any given time. This optimal energy supply distribution increases grid reliability while conserving energy and reducing cost. Based on internal strategy drivers and external market opportunity, the Optimizer fuses together real-time forecasting, economics, rules, and active learning to deliver autonomous energy management.
Using digital twin modeling, AI models constantly consume large amounts of real-time and historical data. At the same time, strategic goals, price, and compliance rules are incorporated. The models continue to adapt to changing conditions, learning from previous outcomes, resulting in more accurate, more optimal decisions.
Achieve real-time, autonomous decision making at the edge of the asset control system. By solving problems locally, you can increase speed of action and achieve a higher level of situational awareness. As a result, you will increase reliability, lower your operational cost, and have more effective asset performance monitoring.
Meet your strategic, regulatory, and environmental goals by implementing combinations of different energy optimization strategies.
Constantly synchronize and optimize each controlled asset with each other and with the network to achieve environmental, strategic, and regulatory goals.
BATTERY OPTIMIZATION
In order to maximize the economic benefits of battery storage, you must use battery storage for a variety of applications. The AI-driven Optimizer enables dynamic, real-time digital twin modeling of batteries to ensure optimal power distribution and battery life. Optimize your battery for frequency dispatch signals, solar smoothing, peak shaving, and arbitrage or be bundled with other grid applications for value stacking.
SOLAR SMOOTHING
In order to mitigate the fundamental flux of solar power, Veritone Optimizer uses battery storage for solar smoothing. You can now confidently supplement the gaps in solar power. Additionally, the Optimizer reduces frequency fluctuations in renewable plants by leveraging multiple forecast and historical data. As a result, these plants become fully dispatchable.
PEAK SHAVING
Optimize your battery storage by leveraging price and demand forecasts. Confidently off-set highly variable loads, while improving reliability and keeping the operating costs low.
MERCHANT STORAGE
Veritone Optimizer utilizes real-time dynamic optimization based on price, load demand, and risk forecasting. Ingesting these forecasts to generate battery charge and discharge commands, you can maximize profits through energy arbitrage.
FREQUENCY DISPATCH
Take advantage of battery storage with Veritone’s AI-driven Optimizer in order to increase operational efficiency of your system. Respond to the frequency signal in real-time, to maximize your revenue.
CAPACITY PLANNING
Given constraints such as weather, demand, and price fluctuations, Veritone’s AI-driven Optimizer actively models available energy sources. In doing so, you can optimally dispatch required amounts of clean, continuous, and reliable power.
VOLTAGE REGULATION
Veritone’s AI-driven Optimizer uses historical and capacity data, and generator constraints, to dynamically determine the operating voltage range. This keeps voltage levels close to a desired value.
BID OPTIMIZATION
Using a variety of data points, you can use Veritone’s AI-driven Optimizer to achieve optimal bidding and scheduling strategies in real-time. In turn, this will allow the DER owner to maximize the revenue opportunities.
POWER QUALITY
Power quality issues lead to revenue loss, early equipment failures, and power outages. Identify the root cause of poor power quality and correct it in real-time with Veritone’s AI-driven Optimizer. This enables you to improve energy harmonics and power output. With its active filtering capability, the Optimizer helps you reduce harmful harmonics and prevent energy losses during transmission.
OPTIMAL DISPATCH
Using generation and demand forecasts, meter and weather data, Veritone’s AI-driven Optimizer synchronizes each controlled DER with another. It also synchronizes assets with the power grid and other uncontrolled devices. This delivers performance metrics that meet local demand, reduce cost, and maintain reliability and resiliency.
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Veritone Energy Solutions are used by leading integrators and U.S. utilities to better optimize, synchronize and control green energy sources.