How to Optimize Your Energy Costs with Day-Ahead Price Forecasting

Anticipate electricity prices, control risks, and shift your consumption to the most cost-effective hours — with FlexyWatt's AI-powered forecasting and optimization solutions.

Managing electricity costs is no longer just a matter of asking "how much did we consume?" In today's energy markets, the real questions are:

When did we consume? How did we manage it? And how did we turn that consumption into a cost advantage?

In Turkey's electricity market, prices fluctuate every hour of the day. For energy-intensive industrial facilities, commercial buildings, EV charging operators, and businesses with distributed energy assets, accurately reading hourly price movements has a direct impact on financial performance.

This is where the Market Clearing Price — known in Turkey as PTF (Piyasa Takas Fiyatı) — sits at the center of energy cost management. But simply tracking the PTF is not enough. The real value lies in anticipating it, and using those forecasts to optimize consumption, operations, charging schedules, storage, and flexible loads.

FlexyWatt steps in precisely at this point: by analyzing electricity prices, demand fluctuations, facility consumption profiles, and operational flexibility together, the platform enables smarter energy cost management.

What Is the Day-Ahead Market?

The Day-Ahead Market is an organized electricity market where generation and consumption bids are evaluated one day before physical delivery. Market participants submit buy and sell offers for the following day; the system matches these bids to determine the market clearing price and matched volumes for each hour.

In simple terms, the Day-Ahead Market is where tomorrow's electricity prices are shaped today.

Its core functions are:

• Establishing hourly reference prices for electricity

• Planning the balance between generation and consumption in advance

• Providing market participants with operational and financial visibility

• Making supply, consumption, and generation decisions more rational

  
  

The Day-Ahead Market is a strategic decision space — especially for large consumers, suppliers, generators, renewable energy asset owners, battery systems, and EV charging operators. Because the prices formed there don't just govern energy trading; they determine which hours are most advantageous for consumption.

What Is the Market Clearing Price (PTF)?

The Market Clearing Price (PTF) is the unit electricity price formed for each hour in the Day-Ahead Market. It emerges from the matching of supply and demand bids.

In other words, the PTF is the reference price of electricity for a given hour in the market.

Consuming electricity during high-PTF hours creates cost pressure for businesses, while shifting consumption or flexible loads to low-PTF hours can generate a cost advantage.

For this reason, the PTF is a critical indicator for:

• Industrial facilities

• Multi-site commercial businesses

• Data centers

• Facilities with high cooling, heating, and HVAC loads

• Electric vehicle charging station operators

• Renewable energy producers

• Battery storage systems

• Energy suppliers and portfolio managers

  
  

The PTF is not just a price data point. When interpreted correctly, it is an operational decision signal for energy management.

How Is the PTF Formed?

The PTF is formed by the intersection of supply and demand in the electricity market. Generators submit sell offers; the consumption or supply side submits purchase requests. These bids are evaluated on an hourly basis, and a clearing price is determined for each hour.

Many variables can influence PTF formation:

• Electricity demand

• Generation capacity

• Natural gas and fuel prices

• Renewable energy output

• Solar and wind generation forecasts

• Reservoir fill rates

• Air temperature and seasonality

• Import source costs

• Balancing requirements

• Grid constraints

• Geopolitical and macroeconomic developments

  
  

For example, on hot summer days, demand can spike due to air conditioning usage. When wind generation is low, the system may need to rely on more expensive generation sources. During peak solar hours at midday, prices may fall. As industrial consumption intensifies, prices can move upward again.

Because all of these variables influence the PTF, understanding prices by looking at historical data alone is often insufficient. The market's multi-variable nature makes AI-powered forecasting systems increasingly valuable.

Why Does Price Forecasting Matter?

One of the most effective ways to reduce energy costs is not to curtail consumption altogether — it's to time consumption more accurately.

Price forecasting gives businesses answers to questions like:

• Which hours will electricity prices be high tomorrow?

• In which hours would increasing consumption be more advantageous?

• Which equipment can be shifted to lower-cost hours?

• When should a battery be charged, and when should it discharge?

• In which hours should EV charging operations be scheduled?

• How can production or cooling loads be optimized?

• How can imbalance and peak cost risks be reduced?

For this reason, price forecasting is not just a tool for energy teams — it directly supports decision-making across finance, operations, production, and sustainability.

With accurate forecasting, businesses can:

• Plan energy budgets more precisely

• Avoid high-cost hours

• Convert flexible consumption capacity into financial value

• Reduce operational risks

• Better manage imbalance costs

• Improve sustainability performance by consuming during lower carbon-intensity hours

In short, price forecasting enables businesses to move from passively monitoring energy costs to actively managing them.

How FlexyWatt Uses Price Forecasting

FlexyWatt doesn't treat energy management as a matter of monitoring and reporting alone. The platform's core approach is to combine forecasting and optimization within the same decision engine.

FlexyWatt's AI-powered forecasting infrastructure evaluates electricity prices, demand, renewable generation, and facility-level consumption data together. As a result, businesses don't just see what prices might be — they can also plan what they should do based on those forecasts.

Three layers stand out in the FlexyWatt approach:

1. Forecasting

FlexyWatt produces electricity price, demand, renewable generation, and internal consumption forecasts. This layer makes future market movements more visible to businesses.

2. Optimization

FlexyWatt works to shift flexible loads to lower-cost hours based on the hourly electricity price structure. This process can be managed via manual notifications or, where the infrastructure supports it, through automated control scenarios.

3. Operational Execution

FlexyWatt's integration layer connects forecasting and optimization decisions to real-world operations. Meters, devices, EV charging stations, storage systems, and energy assets become monitorable and manageable under a single digital energy management layer.

This architecture makes FlexyWatt not just a forecasting platform, but an end-to-end energy intelligence platform.

How Does Forecasting Reduce Costs?

The cost advantage that price forecasting delivers to businesses is most visible in areas of flexible consumption.

Load Shifting

Some energy consumption can be moved to different hours without disrupting operations. For example, cooling, heating, pump systems, battery charging, non-critical auxiliary equipment, and EV charging processes can be shifted to hours when prices are expected to be low.

Avoiding Peak Costs

During hours when prices are forecast to be high, consumption can be reduced or non-critical loads deferred. This prevents the business from consuming unnecessary energy during expensive periods.

EV Charging Optimization

For charging station operators, energy costs directly affect profitability. FlexyWatt can direct charging operations toward more favorable price windows — delivering both a cost advantage and smarter capacity management for operators.

Battery and Storage Management

Battery systems can be charged during low-price hours and discharged during high-price hours. This approach creates significant value in terms of price arbitrage and peak load management.

Imbalance Management

Deviations in generation and consumption forecasts can create cost risk — especially for large consumers and producers. When price forecasting is used alongside demand and generation forecasts, these risks become visible earlier.

Who Benefits Most?

Price forecasting and energy optimization deliver the highest value in the following contexts:

• Industrial facilities

• Businesses within organized industrial zones (OIZ)

• Chain retailers and multi-site operations

• Commercial buildings

• Cold storage facilities

• Data centers

• Electric vehicle charging network operators

• Renewable energy producers

• Battery storage owners

• Energy supply and portfolio management companies

  
  

The shared need is the same: making energy costs predictable, manageable, and optimizable.

Conclusion: Anticipate Energy Prices, Control Risks, Optimize Costs

Energy markets are becoming more volatile, more dynamic, and more data-driven. In this environment, the competitive advantage for businesses lies not just in consuming less energy — but in using energy at the right time, at the right cost, and with the right operational strategy.

Price forecasting is one of the most critical tools for this transformation. But real value emerges at the point where forecasting meets optimization.

FlexyWatt combines AI-powered forecasting, real-time monitoring, intelligent load shifting, EV charging optimization, imbalance management, and virtual power plant capabilities in a single energy intelligence platform — helping businesses manage their energy costs more effectively.

Anticipate energy prices. Control risks. Optimize costs.

With FlexyWatt, transform energy management from a reactive cost control exercise into a data-driven, forward-looking, and optimized decision system.

CTA: Explore your electricity price, demand, and consumption forecasts with FlexyWatt — and take the first step toward optimizing your energy costs.