Net-Zero Pathways – Balancing Cost, Reliability and Decarbonization

Optimal Long-term planning for Resource Adequacy and Cost Optimization. AI / ML based powerful power grid models with scenario solutions for risk reduction in uncertain future markets.


Optimal multi-market strategy for Short-Term : High Revenues, Higher Reliability

AI / ML based renewable generation, load and price forecasting, bidding strategy
Intraday and Day Ahead simultaneous decision making –MVAR based Risk factoring with Stochastic Analysis
New Revenue Streams -Electricity Derivatives for hedging when regulations allow
Load Flow based network representation

Optimal Long-term planning for Resource Adequacy and Cost Optimization

Net-Zero Pathways –Balancing Cost, Reliability and Decarbonization
AI / ML based powerful power grid models with scenario solutions for risk reduction in uncertain future markets
Load Flow based network representation
Policy level recommendation for Power Grid strategy
Least Cost power procurement plan (DAM, G-DAM, TAM, HP-DAM, RTM)
Optimized and opportunistic arbitrages
Reduction in Power purchase cost, load shedding

Managed Service for Client Success

Dedicated AI/Analytics team: 24x7 support
Customized incorporating clients expertise and experience
Auditable Dashboards based on trading strategy

Case Study


2050 Coordinated Resource Net Zero Plan for a Large Utility.

Challenge


Helping customer explore and build net zero pathways using technology options at least cost with market scenarios.

Solution


1Point5C modelled customer’s portfolio with generation and load forecating under different electrification scenarios incorporating different resource candidates (firm/flexible) and storage (long and short). Using Proprietary dispatch/expansion models, 1Point5c was able to consult on the least cost (lowest system-total cost) and highest reliability Net-Zero trajectory with a resource mix forecast by decade.

Partner with a proven, AI-enabled power marketer

Let us help you reduce risk and optimize your energy returns.


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