- Consulting services
Energy Three Horizon Analytics 2-Week Assessment
2-week assessment designed specifically for the energy sector to get you started with your Azure Analytics & IIoT adoption.
Adastra’s Three Horizon Analytics Assessment for the Energy sector is a commitment-free offer to help accelerate your Azure Analytics & IIoT adoption. With our assessment, we will create a roadmap for future analytics goals by delivering a tangible plan and cost breakdown for your future analytics state.
What's included in the offer:
Adastra’s assessment will review your current analytics state to determine the right approach to your customized Three Horizon Roadmap.
Smart Meter Analytics: Collect telemetry data in real time from customer smart meters. Monitor customer meter status, energy use, and alert conditions. Gain enterprise visibility views re: customer energy use. Integrate results with billing systems. Enable bi-directional communication for remote smart meter configuration. OSISoft PI integration architecture.
Solar Panel Analytics: Monitor telemetry data from solar panel installations in real time. Correlate weather to energy production patterns. Analyze direct panel, battery, and sell to grid customer energy use. Monitor connection and panel health. Gain enterprise visibility re: customer panel performance.
Alternative Energy Retention: Promote retention in customer alternative energy programs (i.e. solar, wind, …), by monitoring customer energy use, and generating “what if” bills for the customer. Our solution collects energy data from the customer (direct, stored, grid) program, determines the “without program” cost, and highlights savings.
Energy Use Forecasting: Energy retailers must successfully predict future energy use, to effectively bulk purchase energy from utility generators at lower cost. Our multi-variate advanced analytics models improve energy forecasting results, achieving >90% accuracy in forecasts.
Energy Price Forecasting: Using macroeconomic indicators, achieve >90% accuracy for up to 12M index forecasting. Leverages external sources to successfully predict future energy pricing using advanced analytic models. Facilitates improved power marketing for energy producers, and improved power purchasing for energy retailers.
Intelligent Energy Marketing: Use predictive models, trained from customer purchase history, to predict energy program enrollment likelihood for existing or new customers. Facilitates targeted energy program marketing to customers that are likely to enroll, ensuring marketing and effort costs are optimized.
Customer Renewal Prediction: Predict the likelihood of a customer to renew their contract with an energy retailer, and if unlikely “why”. Predictive models are trained from real customer history. Use this information to identify low renewal likelihood customers, and thereby execute retention techniques (offers, discounts, …) based on “why”.
Cognitive Vision Tracking: Use video / image stream data to track individuals as they move through energy generation sites, to improve safety by understanding user location, and to automatically detect correct personal protection equipment use.
Predictive Maintenance: Improve energy generation / distribution equipment uptime and reduce operating costs, by proactively scheduling maintenance before equipment issues occur. Predictions are targeted thru models trained from real equipment history.
Research Collaboration: Share anonymized data with 3rd party university researchers, who’s research drive optimization of energy yields and cost models. Researchers need real real-time data, and energy generators need optimization models. Through our cloud collaboration solution, data is securely shared / analyzed bi-directionally for this purpose.
Custom Solution: Adastra will leverage cloud technology to deliver a custom analytic solution, achieving differentiating insights and proving the value of cloud technology through the use case.