Weather Effect Decomposition Functionality: Summer Base Load Demand Growth in ERCOT
The Weather Effect Decomposition tool provides users with the ability to better understand the impact of weather on demand. Users can decompose observed demand based on observed weather, seasonal normal weather and other causal variables. The result is a breakdown of demand into the portion that would have occurred under normal weather circumstances and that...
Accuracy: 1st TEPCO Electricity Load Forecasting Technology Contest Results
In 2017, TESLA was the only overseas firm to win among 100+ entries in TEPCO’s (Tokyo Electric Power Company) First Electricity Load Forecasting Technology Contest. This was TESLA’s first time forecasting electricity demand in Japan, providing the team with invaluable experience in this newly deregulated market. After the contest, TESLA expanded from 1 region with...
Policy Induced Electricity Demand Destruction in Japan
Given Japan’s dependency on energy imports such as LNG and coal, the government has asked households and companies to conserve electricity during the peak winter months of December through March. Now that the first month of the policy has passed, we can analyze year-on-year weather-adjusted load to see if this policy had a material effect. ...
World Cup’s Effect on Japanese Power Consumption
How Does the World Cup Affect Japanese Power Consumption? All eyes were on Japan this year as they beat Spain and made it to the round of 16 against Croatia. Both the matches against Spain and Croatia occurred in the early hours of Japan’s morning. The early matches resulted in some interesting power consumption patterns...
New Zealand’s Peak Demand Growth
2021 was an interesting year for the New Zealand power market with demand clocking record highs in both June and August. This case study uses TESLA’s Weather Risk tool to quantify New Zealand’s peak demand growth from 2015 – 2021. Read the full case study here. ...
Singapore’s Peak and Total Load Growth
This case study utilizes TESLA’s Weather Adjusted Load to calculate Singapore’s Year-on-Year total load growth over the past decade. It also applies Weather Risk to calculate Singapore’s Year-on-Year peak demand growth. Since 2012, Singapore’s total weather corrected demand grew by 18.8%, while peak demand grew by 12.6%. Read the full case study here....
Holiday Forecasting: Bonifacio Day in the Philippines
Bonifacio Day is a national regular holiday in the Philippines celebrated every 30th of November to remember the birthday of Andrés Bonifacio. This case study illustrates how power demand in Luzon fluctuates when this holiday occurs on different days of the week. It also uses Weather Adjusted Load to show how rapidly power demand in...
Holiday Forecasting: Labor Thanksgiving Day in Japan
Labor Thanksgiving Day is an annual holiday in Japan celebrated on 23rd November each year, unless that day falls on a Sunday, in which case the holiday is moved to Monday. This year, 23rd November falls on a Tuesday. Naturally, we don’t have a whole lot of holiday observations and since the Japanese power market...
TESLA and Solcast team up to bring more accurate demand ‘Nowcasting’ to South Australia
With South Australia’s increased dependence on renewable energy, accurate forecasting has become extremely critical. TESLA and solar radiation data experts Solcast have tackled this task with a new forecasting methodology. Read more about the project here....
Arizona Public Service’s Day Ahead Trading Improved
APS is the largest electric utility in Arizona, United States. With 6,500 MW of generating capacity, APS serves more than one million customers in 11 counties throughout most of the state. From APS’s perspective, power generation from rooftop PV is essentially negative demand, contributing to the duck curve in APS’s daily load profile. Significant challenges...