Future Bridge is excited to welcome you to the Power Price Forecasting Summit 2023 on the 26-27th of January in Amsterdam, Netherlands

With the increase in energy supply volatility there emerges a greater need for better power price forecasting analysis.

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About Conference

We aim to provide powerful content for our attendees

Future Bridge is excited to welcome you to the 2nd Power Price Forecasting Summit in January 2023. The 2nd Power Price Forecasting Summit is a hybrid event that will be physically held in Amsterdam, Netherlands.

The conference’s goal is to bring together decision-makers from the analytic departments from power generation and energy trading companies, energy utilities, and electricity TSO / DSO for a two-day business networking event.

The attendees will have the opportunity to witness a program that focuses on insightful case studies and panels which will promote in-depth exchanges and discussions that address the industry’s challenges. Specifically for the day-ahead and intraday forecasting for electricity markets, price modelling, and long-term electricity price analysis. Power price forecasting is a tremendously complex process that is affected by numerous external variables such as weather forecasts, transmission conditions, governmental regulations, market conditions and so on. For the past two years, the energy markets have experienced unprecedented volatility.

Due to the economic turmoil caused by the COVID-19, geopolitical tensions, and changes in demand with the transition to carbon-free, Energy markets have seen a rise in negative and record prices. The Clean Energy package 2030 will speed up

the shutting down of thermal and nuclear baseload generation which will tighten the supply. The process of recalibration has started in 2021 and will continue bringing us to the question; will energy markets recover by 2023?

The European power producers must consider that a key climate policy to drive the decarbonization of the power sector and heavy industry is the EU ETS.

Therefore, the share of input from RES is growing, and according to the central results of the Potsdam Institute for Climate Impact Research (PIK) research on project Future of Fossil Fuels stated that tightening the EU ETS target (−63% instead of −43% in 2030) speeds up transformation by 3–17 years. This does not only impact RES expansion, which reaches >70% by 2030 but also leads to almost complete coal phase-out by 2030 and gas phase-out by 2040 across Europe. With the increase in energy supply volatility there emerges a greater need for better power price forecasting analysis.

In our Winter Edition of the Power Price Forecasting summit, we will be including topics such as sector coupling analysis, volatility of spot prices, effect of raw materials shortage, prediction of imbalance prices, electric grid constraints, the trend to “Move to the post-subsidy world” and many more.

Who Should Attend?
VPs, Directors, Heads, Managers, Analysts of the following divisions:

Program Highlights

Power Market Outlook

Dealing with regulatory changes
Price cap on the gas
Change in the market design
Permitting framework for the renewables
Energy efficiency plan to reduce gas consumption
New trends in the European power market
Renewables impact on pricing (hydrogen, green deal)
Long-term Power Purchase Agreement valuation and structuring
Impact of Interconnection

Long Term

RES power in EU. How is it going to change on short-, mid and long-term views?
The use of Fundamental Models with Statistical for long-term
Impact of Price Sensitivity and Deterministic approach on long-term forecasting
Efficiency maximization of long-term forecasting models
Data-driven modeling for long-term electricity price forecasting
Probabilistic mid-and long-term electricity price forecasting
Best practice of implementing hybrid models for the long-term forecast

Short Term

Modeling the Spot Prices
The use of Statistical Models for short-term forecasts
Fine Tuning of a Model using Gradient Boosting techniques
Market views based on supply-demand balances
Stochastic models for intraday, spot, and forward prices.
State-of-the-art algorithms for forecasting day-ahead electricity prices
Modeling and estimating volatility of dayahead electricity

Strategies For Forecasting

Investing in best-in-class risk-management models.
Renewable Energy power forecasting
Effect of raw materials shortage
Climate scenario strategies
Model-building tools
Changes that need to be done to models that consider import-export flows as assumptions
Modeling hybrid renewable energy plants
The volatility of spot prices
Smart metering on-site demand driving impact
Bidding Strategy – Reserve and Ancillary Services
Recurrent Neural Network approach