PLAN, PROTECT, PROFIT
PLAN, PROTECT, PROFIT
C A S E E X A M P L E:
EXPECT THE UNEXPECTED Electricity and natural gas markets are volatile and unpredictable. In the winter of 2014, for example, some well-established companies went bankrupt because they simply could not sustain the unexpected spike in energy costs.
An industrial gases company leveraged kWantera’s price forecasts to increase its demand response incentives. They saved over $3 million in one year, avoiding peak demand charges and had greater preparation time to curtail when it was economic for the business.
Knowing that energy prices can shift violently every second of every day, kWantera has developed predictive analytics that give companies the intelligence they need days in advance – to drive optimal energy consumption and purchasing decisions. We help you continuously deliver savings, returns to investors, and help to mitigate risk-premiums to protect you from unforeseen surprises. BEHIND THE CURTAIN With machine-learning predictive analytics, similar to Google, kWantera processes hundreds of thousands of real-time data points that impact electricity and gas prices every second of every minute of every hour, every day. Working with kWantera is like having the support of a world-class trading desk at your fingertips. PUTTING IT TO WORK We take predictive analytics and energy market insights a step further than anyone by helping customers make decisions that save money and avoid risk by knowing when to use energy, how much, and at what estimated price. For example, a kWantera customer who receives electricity price forecasts three days in advance found they could shift consumption for the hours where prices were economically destructive and save $3.1 million over that year. It’s that simple.
kWantera is positioned to provide greater market transparency. Together, we’re making energy management less risky and more profitable. How can we help you leverage savings and stay ahead of risk?
kWantera | 2740 Smallman Street, Suite 401 | Pittsburgh, PA 15222 | 412.481.1111 | kwantera.com
C A S E E X A M P L E:
EXPECT THE UNEXPECTED Electricity and natural gas markets are volatile and unpredictable. In the winter of 2014, for example, some well-established companies went bankrupt because they simply could not sustain the unexpected spike in energy costs.
An industrial gases company leveraged kWantera’s price forecasts to increase its demand response incentives. They saved over $3 million in one year, avoiding peak demand charges and had greater preparation time to curtail when it was economic for the business.
Knowing that energy prices can shift violently every second of every day, kWantera has developed predictive analytics that give companies the intelligence they need days in advance – to drive optimal energy consumption and purchasing decisions. We help you continuously deliver savings, returns to investors, and help to mitigate risk-premiums to protect you from unforeseen surprises. BEHIND THE CURTAIN With machine-learning predictive analytics, similar to Google, kWantera processes hundreds of thousands of real-time data points that impact electricity and gas prices every second of every minute of every hour, every day. Working with kWantera is like having the support of a world-class trading desk at your fingertips. PUTTING IT TO WORK We take predictive analytics and energy market insights a step further than anyone by helping customers make decisions that save money and avoid risk by knowing when to use energy, how much, and at what estimated price. For example, a kWantera customer who receives electricity price forecasts three days in advance found they could shift consumption for the hours where prices were economically destructive and save $3.1 million over that year. It’s that simple.
kWantera is positioned to provide greater market transparency. Together, we’re making energy management less risky and more profitable. How can we help you leverage savings and stay ahead of risk?
kWantera | 2740 Smallman Street, Suite 401 | Pittsburgh, PA 15222 | 412.481.1111 | kwantera.com
