emsvpp
AI AnalysisClassification & Focus Areas
"Renewable portfolio trading platform combining proprietary AI models and live SCADA data for imbalance reduction and intraday decision-making, serving renewable producers and suppliers."
Domain Affinity
Technology Breakdown
Offerings Products & Services
Commercial Optimization
Leverages artificial intelligence to maximise margin per MWh. Combines real-time operational data with advanced analytics, simulates market variables, and applies optimisation algorithms tailored to each player's portfolio and risk parameters.
Energy Data Management
Automatically collects and aggregates a wide variety of energy data streams regardless of sources or formats. Provides high-quality data visualizations and real-time cloud-based data storage to facilitate data-driven decision-making.
Portfolio Forecasting
Purpose-built for energy companies to orchestrate and improve the entire portfolio forecasting process. Leverages unique algorithms and live SCADA data, combines multiple forecast providers, and considers operational and market constraints to increase forecast accuracy.
Real-Time Position Management
Integrated system enabling real-time decision-making on short-term markets and physical assets. Generates a live P&L view, monitors intraday deviation, provides drill-down on asset performance, and automates nominations and bidding workflows.
Case StudiesReferences & Success Stories
ElNova JSC: Green Energy Portfolio Management with TokWise
ElNova JSC uses TokWise as a one-stop-shop solution for green energy portfolio management. It improves productivity and enables management of the complete portfolio from one place while remaining process- and cost-efficient.
AGC Glass Europe: Energy Portfolio Management Support
TokWise supports AGC Glass Europe in managing part of their energy portfolio, with the company valuing TokWise's structured approach, flexibility, and continuous improvement mindset.
Ilek: Data-Driven Portfolio Forecasting Optimization
Ilek collaborated with TokWise to optimize portfolio forecasting using a data-driven approach.