Posts

Showing posts with the label Prediction

Book Review 01: "Your Money or Your Life" by Vicki Robin and Joe Dominguez (Coming soon)

How to develop a Case Study, find a standard procedure ?

Developing a case study involves thoroughly analyzing a subject or situation to extract key insights, learnings, and recommendations. Below is a detailed outline for creating a comprehensive case study: 1. Identify the Subject and Purpose Subject Selection : Choose a subject (e.g., a company, process, individual, or product) that has sufficient data available. Ensure the subject aligns with your target audience's interests. Purpose Definition : Clearly state the purpose of the case study—whether it’s to solve a problem, analyze an outcome, or learn from success or failure. 2. Conduct Initial Research Background Information : Gather general information about the subject to set the context. Identify the primary stakeholders involved. Formulate Key Questions : Develop research questions that help focus your study (e.g., "What was the key problem faced by the company?"). 3. Develop a Case Study Structure Title Page : Include the case study title, author(s), and date of comple

Subscribe . .

What is P50, P52 & P90 ?

P52, P53 and P90 are terms often used in the renewable energy sector, particularly in the context of wind or solar energy production analysis. These refer to statistical probability levels used in energy yield assessments to estimate the expected production of renewable projects over a certain time frame. P50 : Represents the median or "best estimate" production scenario. It means there is a 50% chance that the actual energy production will be higher or lower than this value. It is the expected average production in a typical year. P52 or P53 : These are uncommon notations, but they might represent slight variations from the median estimate, with a slightly higher probability of occurrence than P50. P90 : This represents a conservative estimate, meaning there's a 90% chance that the actual production will be equal to or exceed this value, making it suitable for financial risk assessments. In summary, P-levels like P50, P52, or P90 provide different confidence levels for