Short-term power trading in the energy transition: The 2026 edition

Change is the only constant in power markets, and we’ve made it a tradition to analyze these changes at the beginning of each year. In 2026, the signals are clear: solar deployment, increasing grid pressure, evolving market rules, and accelerated automation are reshaping trading conditions at a pace the industry hasn’t seen before.

To help trading desks focus on what matters most, we break down the key developments into three interconnected areas: the power grid, energy markets, and trading technologies.

Grids: Solar growth and the distributed challenge

Global renewable power capacity is expected to double by 2030, increasing by 4,600 GW, as reported by the IEA. This is roughly equivalent to adding the combined power generation capacity of China, the European Union, and Japan to today’s system.

Nearly 80% of the additional capacity comes from solar. In more than 80% of countries, renewables are expanding faster between 2025 and 2030 than they did in the previous five years. Wind continues to grow, too, though more steadily and mostly onshore.

What’s particularly significant for traders is the composition of this growth. Distributed capacity – rooftop installations, small commercial systems, behind-the-meter generation – is accelerating faster than utility-scale projects. This shift fundamentally changes the forecasting challenge.

Battery installations, especially co-located with solar, are following suit. Falling technology costs, short lead times, and favourable economics are accelerating deployment across Europe.

But this speed exposes a structural bottleneck: the grid was not built for this level of distributed, variable generation. Grid pressure is becoming one of the defining operational challenges of the decade. In Germany alone, more than 100 DSOs apply different curtailment rules, redispatch processes, and network tariffs.

What it means for renewables and battery traders

Asset-backed trading has entered a new level of complexity. Solar creates sharper deviations than wind, especially in regions dominated by small-scale installations. Morning fog burning off faster than forecast, or a front arriving an hour early, can flip a portfolio from surplus to deficit within a single Program Time Unit (PTU).

The rise of prosumption – where decentralized assets switch between consumption and production – introduces new sources of uncertainty that are harder to observe and model, as these assets often lack the telemetry and visibility of utility-scale installations. Consequently, the need for prosumption forecasting is becoming as important as weather forecasting.

Furthermore, forecast errors and resulting balancing costs rise as variability increases, making high-frequency updates and highly accurate forecasting essential.

Energy markets: Flexibility scarcity and the shift to intraday

The above grid-level changes are rippling into market behavior, where the fundamental supply-demand dynamics are shifting.

As renewable penetration rises, short-term power markets are experiencing more volatility. Flexibility, however, is not keeping pace with variable renewable output, particularly during periods of solar generation. Although battery capacity is expanding rapidly, it remains insufficient to consistently absorb solar peaks at regional scale.

At the same time, the pressure on renewable earnings is increasing: subsidy schemes are phasing out, curtailment rules are tightening, and price cannibalization during high-output hours is intensifying.

With thinner margins, forecast errors become more expensive. A deviation that might once have been absorbed through subsidies or benign imbalance prices now translates into financial loss. This increases the cost of every corrective action taken closer to delivery.

That is why intraday trading is shifting from exception to default. What used to be an occasional adjustment for major forecast changes is now a continuous process of position management. Forecasts are updated repeatedly up to gate closure, and traders increasingly rely on intraday markets to rebalance volumes, deploy limited flexibility, and avoid punitive imbalance exposure.

In parallel, market reforms are also accelerating as TSOs and regulators seek greater system efficiency. Over the past year alone, this has included, for example, the shift to 15-minute market time units on the day-ahead market, changes to imbalance price signaling in the Netherlands, and the launch of TIDE in Italy.

What it means for renewables and battery traders

Simple strategies are unlikely to remain profitable. Relying solely on day-ahead positions or rule-based models is increasingly insufficient; performance now depends on timely intraday correction and execution.

Strategies need to account for forecast risk, with probabilistic price and volume signals informing position adjustments and flexibility dispatch. High-quality price forecasts have evolved from supporting tools to core trading inputs that directly shape profitability.

Finally, market design knowledge becomes part of the edge. Rule changes directly shape imbalance risk and flexibility value, making continuous monitoring and fast adaptation a prerequisite for sustained performance.

Tech: Automation and new trading practices

Across Europe, automation and IT transformation are accelerating. Asset-backed traders are becoming more technologically savvy and data-driven, though maturity varies widely across markets and organizations.

Battery storage presents a different challenge entirely. These assets require automated, cross-market optimization from day one, as they operate across multiple markets, often simultaneously, seeking the best risk-adjusted returns.

The common thread is an industry moving toward highly reliable, real-time operations supported by large-scale data processing. API-based setups are rapidly replacing legacy systems, as companies integrate forecasts, market data, and automated bidding engines.

What it means for renewables and battery traders

Competitive trading now requires the type of infrastructure and data capabilities once found only in quantitative hedge funds. Traders need systems that process high-frequency data, react to signals within seconds, and execute trades algorithmically with confidence.

As a result, forecasting partnerships are becoming strategic rather than transactional. As forecasts and trading signals increasingly sit at the core of automated setups, the quality and reliability of these inputs directly determine financial performance.

Looking forward

Our conclusion for 2026: renewable energy trading is entering a new phase. Complexity is rising across the grid, markets, and trading stack, and adaptability, coupled with differentiated, data-driven signals, will distinguish the winners from the rest.

At Dexter, our mission is to help customers operate and trade confidently. We do this by mastering the sources of complexity you face: delivering accurate forecasts of power production, prosumption, and price, as well as trading signals designed for automated trading.

We’re excited by what the next phase of the market will bring. If you’d like to explore how these developments affect your portfolio, we’re always happy to have a conversation.