Most solar PV connected to the GB electricity network does not supply metering to NESO, and so NESO sees most solar PV generation as a suppression of demand. This means that the observed/metered 'National Demand’ outturn reported by NESO and Elexon is not a true representation of how much electricity was consumed across the network. When modelling demand, NESO also consider so-called 'Virtual Demand', which is the metered 'National Demand' plus NESO's own estimates of the generation from "unmetered" [by NESO] Solar and Wind generators. When forecasting demand it is often easier to forecast 'Virtual demand', which is predominantly behaviour-driven, and then to subtract a forecast of the unmetered solar and wind to create a forecast of the ‘National Demand’.
Electricity prices rising by double the rate of inflation. Data center demand means no relief ahead, analysts say
The impact of the AI industry on electricity prices has turned into a major political flashpoint ahead of the midterm elections this November.
Have Data Centers Raised Your Electric Bill? Causal Evidence from the United States
We estimate that data centers caused average retail electricity rates to fall modestly in the United States from 2015 to 2024 using an instrumental variables approach. Despite prevailing sentiment, the finding is consistent with economic reasoning: existing large power system fixed costs, economies of scale in transmission and distribution, and declining unit costs for generation imply that durable demand growth lowers average prices. We find patterns of economies of scale for transmission, distribution, and generation costs as well as within and across retail customer classes. We caution that future supply constraints could reverse the effect.
Have Data Centers Raised Your Electric Bill? Causal Evidence from the United States
We estimate that data centers caused average retail electricity rates to fall modestly in the United States from 2015 to 2024 using an instrumental variables approach. Despite prevailing sentiment, the finding is consistent with economic reasoning: existing large power system fixed costs, economies of scale in transmission and distribution, and declining unit costs for generation imply that durable demand growth lowers average prices. We find patterns of economies of scale for transmission, distribution, and generation costs as well as within and across retail customer classes. We caution that future supply constraints could reverse the effect.
National Grid: Live
Shows the live status of Great Britain’s electric power transmission network
US data centers’ energy use amid the artificial intelligence boom
Data centers accounted for 4% of total U.S. electricity use in 2024. Their energy demand is expected to more than double by 2030.
France Exports Surplus Solar Power as Electricity Prices Turn Negative
French solar power surged on Thursday as a stretch of sunny weather boosted generation allowing the country to export huge volumes of electricity to neighboring markets.
Energy Production and Consumption
Explore data on how energy production and use varies across the world.
Will AI really consume more electricity than the US produces? - Poynter
President Trump said AI could need nearly twice the nation’s electricity, but credible projections put its future share at no more than 25%
Data centres in future European energy systems—energy efficiency, integration and policy
End-use efficiency, demand response and coupling of different energy vectors are important aspects of future renewable energy systems. Growth in the number of data centres is leading to an increase in electricity demand and the emergence of a new electricity-intensive industry. Studies on data centres and energy use have so far focused mainly on energy efficiency. This paper contributes with an assessment of the potential for energy system integration of data centres via demand response and waste heat utilization, and with a review of EU policies relevant to this. Waste heat utilization is mainly an option for data centres that are close to district heating systems. Flexible electricity demand can be achieved through temporal and spatial scheduling of data centre operations. This could provide more than 10 GW of demand response in the European electricity system in 2030. Most data centres also have auxiliary power systems employing batteries and stand-by diesel generators, which could potentially be used in power system balancing. These potentials have received little attention so far and have not yet been considered in policies concerning energy or data centres. Policies are needed to capture the potential societal benefits of energy system integration of data centres. In the EU, such policies are in their nascent phase and mainly focused on energy efficiency through the voluntary Code of Conduct and criteria under the EU Ecodesign Directive. Some research and development in the field of energy efficiency and integration is also supported through the EU Horizon 2020 programme. Our analysis shows that there is considerable potential for demand response and energy system integration. This motivates greater efforts in developing future policies, policy coordination, and changes in regulation, taxation and electricity market design.
Groq On-demand Pricing for Tokens-as-a-Service
Groq powers leading openly-available AI models. View the pricing of our core models including GPT-OSS, Kimi K2, Qwen3 32B, and more.
GB Renewables Map
Live map showing realtime renewable energy generation in Great Britain
Share of electricity in total final energy consumption
Get the present share of electricity statistics in total final energy consumption mix by country or region.
Global Electricity Review 2026 | Ember
Solar surge halts fossil generation rise as clean power meets all demand growth and renewables overtake coal
Clear the Lines: Policy and Messaging for the Electric Grid the Northwest Needs
Two Sightline reports detail how Oregon and Washington can build a robust energy and climate future.
This is a spec for ATProto accounts to request and advertise (compute) resources.
one interesting future challenge with atproto to me is that you can deploy an atmosphere app and its kind of 0 maintenance if the underlying network doesnt change dramatically, your marginal costs become 0. which means users have no real reason to pay you unless you keep adding stuff?
