Applications of Mine-Weather System in Various Industries

Industries are always on a lookout as weather impacts everything. Many of the companies and governmental entities, including electric and gas utilities, transportation companies, transit government entities and investment firms, relay heavily on weather forecast data. Understanding the relationship between a company’s infrastructure and their service capabilities under different weather conditions are essential for the preparedness and capacity planning of various industries.

Mine-Weather is a dynamic system with a highly adaptable analytical structure that meet specific forecast accuracy requirements of different industrial applications. Industries mainly benefit by evaluating the accuracy of weather forecasts for specific time periods and weather variables. There are a number of factors that decide the accuracy of weather forecasts with the primary ones being weather variables, weather thresholds and time periods.

Conditions that affect the accuracy of weather forecast are:

  • For utility spanning large service area, actual ground weather conditions may differ based on the region, thus affects the accuracy of forecast for each service area.
  • Forecast centers that collect actual observational data may not be located nearby the utility load centers housing the equipment’s. As a result different weather stations will provide varied forecasts and none will match the actual forecast of the utility center.

Mine-Weather system provides analysts with power to conduct point-in-time, periodical and daily analyses of weather forecasts. All weather variables are easily loaded into the system and sophisticated scoring methods applied to analyze each of the weather variables most important to the utility.

Lately, Mine-Weather has been leveraging its services specifically to the Electric Utilities Industry.

Markets are opening up with more private players getting on to electric utility sector. Main focus of electric providers are on low cost power generation and customer service. As a result, electric utilities need to predict severe weather to overcome electric power outages and reduce the impact on electric utility operations.

Mine-Weather system addresses forecast accuracy that have critical financial implications on Electric utility companies. Analysts can define an event start and end time, set threshold value and perform analysis using the dashboard. Mine-Weather provides concrete answers to all the weather forecast issues that have plagued the Electric utility companies for long.

Mine-Weather can be tailored to manage the impact of weather in the Construction Industry.

Wind speed and wind gusts are the critical weather variables that affect the functioning of the construction industry. Cranes cannot be operated at wind speeds and gusts above a particular threshold value. Mine-Weather analyses wind based forecasts by comparing the threshold values with the projected speeds and creating a composite score that allows analysts to accurately predict wind speeds. This facilitates construction companies to decide whether to carry on or curtail the construction work depending on the derived scores.

Adverse weather conditions can have a dramatic impact on Solar and Wind Industries.
Companies involved in producing renewable energy are mainly affected by cloud cover and sunlight for solar facilities, and wind speed and direction for wind farms. Mine-Weather system facilitates to segment out the peak and off-peak hours and set weights for each period to arrive at a composite score. Using this composite score utility networks can accurately plan their power generation from the solar panels and wind turbines.

Ice storm contributes as a major risk factor that impacts the Municipalities & Electric Utility Distribution Networks.

Ice buildup forms a critical component during ice storms. Determining ice formation depends on several weather variables that needs to be combined into a composite score for predicting the likelihood of ice formation. Mine-Weather performs this composite weather analysis to accurately predict ice buildup. Predicting ice buildup helps restore electric lines and determine road conditions.

Companies will have to pay a heavy price if the forecasts they rely on are not trustworthy. All factors in Mine-Weather aims at assessing the accuracy in weather forecasts. As Mr. David B. Spiegler [Certified Consulting Meteorologist (CCM) and Fellow of the American Meteorological Society (AMS)] states, “It is very important to know the timeline with accuracy as it affects how I utilize my people and equipment.??? In the coming days Mine-Weather will continue to provide a trusted relationship between industries and forecasters.

Download the full Whitepaper here

About the Author

Dr. Ronald Mueller

Ron is CEO and Founder of Macrosoft, Inc.. Ron heads up all company strategic activities, and directs day-to-day work of the Leadership Team at Macrosoft. Ron is also Macrosoft’s Chief Scientist, defining and structuring Macrosoft’s path forward on new technologies and products, such as Cloud; Big Data; and AI. Ron has a Ph.D. in Theoretical Physics from New York University, and worked in physics for over a decade at Yale University, The Fusion Energy Institute in Princeton, NJ, and at Argonne National Laboratory. Ron also worked at Bell Laboratories in Murray Hill, NJ., where he managed a group on Big Data, including very early work on neural networks. Ron has a career-long passion in ultra-large-scale data processing and analysis including: predictive analytics; data mining, machine learning and neural networks.

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