Day 9 Lecture: Smart-Energy Analysis with What-If Scenarios in Streamlit скачать в хорошем качестве

Day 9 Lecture: Smart-Energy Analysis with What-If Scenarios in Streamlit

📍 What-If Analysis | A/B Testing Dashboards | KPI-driven Smart Energy Systems | Streamlit Applications This advanced session delves into the core of interactive analytics for smart energy systems using Streamlit, combining machine learning, physics principles, and data visualization into one streamlined application. 🚀 What You Will Learn: A refresher on key Streamlit widgets like st.slider, st.text_input, and st.button to build dynamic forms for energy simulation. How to persist state across user sessions using st.session_state, enabling more intelligent and responsive interactions. The foundation and practical implementation of What-If Analysis, Counterfactual Reasoning, and Sensitivity Analysis. Coding a voltage-savings relationship based on basic electrical principles (Power = Voltage² / Resistance) and implementing it into a real-time dashboard. Building an interactive A/B comparison dashboard with live KPI cards to visualize projected energy savings, cost reductions, and system efficiency changes. 📊 Visualizations Include: Dynamic savings curves that react to voltage and power inputs. A side-by-side scenario view for evaluating policy, behavioral, or system changes. Interactive dashboards suitable for stakeholders and decision-makers in the energy sector. 💼 Use Cases: Energy optimization projects Climate-smart decision support systems Classroom projects on energy sustainability and applied data science 🎓 Ideal For: Students in data science, engineering, or energy systems programs Professionals working in sustainability, IoT, or infrastructure Anyone looking to integrate user-driven analytics into real-world solutions