By definition, commercial and industrial stakeholders tend to maintain large facilities that consume a tremendous amount of energy. The average data center, for example, devotes up to 55% of its energy budget – just to cool its servers. Similar requirements exist for medical facilities, military installations, manufacturing plants, and industrial parks – all of which...
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The first installment of this 6-part series provided a broad overview of the challenges facing the American energy landscape. More specifically, rapid onboarding of distributed energy resources (DERs) like solar photovoltaic (PV) systems and wind turbines is making utility grids harder to manage and more expensive to maintain. In addition to cost overruns, this decarbonization...
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As the global energy sector becomes more complex, utility operators and asset managers are increasingly turning to artificial intelligence (AI) to analyze large data sets and balance energy supply and demand—all with the goal of making electricity delivery greener, cheaper, and more reliable. This post explores some of the key drivers shaping the modern energy...
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Summary: Greening operations has presented new challenges, sometimes leading paradoxically to dirtier and more expensive energy Artificial Intelligence (AI) enables better project planning, helping you identify the most optimal energy configuration Conventional solutions do not have the capability to keep up with the demands of climate change, requiring modern AI solutions to fill the gap...
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