Energy Forecasting Cloud
SAS Energy Forecasting Cloud
Delivering Scalable, Accurateand Reliable Energy Forecasting
In partnership with
The issue
The energy market is entering a period of rapid transition that significantly increases forecasting complexity. In the renewables sector, rising levels of decentralised generation from wind, solar and prosumer assets introduce variability and intermittency, with output increasingly dependent on weather and localised conditions. At the same time, Oil and Gas companies are navigating market volatility from geopolitical events, fluctuating demand patterns, and a growing need to diversify portfolios in line with decarbonisation goals. This creates challenges for grid balancing, pricing and storage optimisation.
As both sectors converge on the energy transition, forecasting must account for a far wider set of variables – from weather events and dynamic tariffs to regulatory pressures and consumer behaviour – traditional approaches are now insufficient. An accurate, scalable forecasting solution is essential for ensuring stability, profitability and compliance across the energy value chain.
The Challenge
Energy systems are under unprecedented pressure. Energy asset owners, power generators, utilities and grid operators face increasing forecasting complexity due to:
Flexibility & pricing volatility
Dynamic tariffs and storage usage patterns.
Climaterisk
More frequent extreme weather events disrupting supply and demand forecasting.
Prosumer growth
Renewable generation in homes, commercial units and communities is increasing asset complexity.
Energy efficiency & transition
EV charging, heat pumps and smart appliances reshaping demand
Our Approach
SAS Energy Forecasting Cloud provides accurate, defensible and scalable forecasts-as-a-service. Built on SAS Viya, the cloud solution applies advanced analytics and AI to:
- Automate short, medium and long-term demand and generation forecasting.
- Integrate weather, consumption and user-defined drivers at scale.
- Support use cases from real-time dispatch and trading to long-term investment and policy planning.
- Deliver measurable financial impact - for example, a major utility achieved a £45m+ return in three years by cutting forecast errors.
- Achieve economies of scale with unlimited forecasting in one subscription.
Improve forecast accuracy
Reduce error rates by up to 80%.
Lower operational costs
For example, a 1% MAPE improvement saves $300k annually for a 1 GW utility.
Gain insights quickly
Fast, scalable forecast models delivered on trusted SAS data.
Drive financial performance
Optimise trading, reduce penalties and enhance procurement decisions.
With proven industry success, SAS and Hypercube together enable energy organisations to forecast with confidence - powering the future of energy.
Why Hypercube
As a trusted delivery partner, Hypercube brings strategy, integration expertise and delivery capability to ensure clients realise the full value of SAS Energy Forecasting Cloud. What we deliver:
Consultative implementation
Aligning forecasting solutions with business objectives and regulatory frameworks.
Integration & enablement
Embedding SAS forecasting into existing data, grid and market systems.
Change & adoption
Helping operators, traders and analysts fully leverage advanced forecasting.
Scalable delivery
Applying deep sector experience to accelerate transformation programmes
Speak to the Hypercube team
Learn more about Energy Forecasting Cloud
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