Decision Biases in Electricity Governance

1. Introduction

Decision biases in electricity governance means the risk that energy regulators, governments, network operators or other decision-makers may make decisions that are influenced by incomplete information, existing assumptions, institutional interests or unfair preferences.

Electricity governance involves difficult decisions about prices, network investment, renewable energy, electricity markets, consumer protection, energy security and climate policy. Because these decisions can affect millions of consumers and large investments, decision-makers must use evidence and follow proper legal procedures.

Bias does not always mean intentional wrongdoing. It can also arise from the way information is presented or from relying too heavily on traditional approaches.

2. Common Types of Decision Bias

A. Status-Quo Bias

This occurs when regulators prefer existing systems simply because they already exist.

For example, a regulator may give more attention to traditional large generators while giving less consideration to new technologies such as batteries or demand response.

B. Confirmation Bias

A decision-maker may give greater importance to evidence supporting an existing view and less importance to evidence pointing in another direction.

C. Institutional Bias

An organisation may naturally focus on the objectives that are most closely connected with its own responsibilities.

For example, a network operator may focus strongly on network reliability, while consumers may be more concerned about affordability.

D. Technology Bias

Regulators may favour familiar technologies and be slower to recognise new technologies such as smart grids, distributed storage or peer-to-peer energy systems.

E. Data Bias

If regulatory decisions depend on incomplete or poor-quality data, the resulting decision may disadvantage particular groups or locations.

3. Why Bias Matters in Electricity Governance

Electricity decisions have significant economic and social consequences.

A biased decision may affect:

electricity prices;

network investment;

renewable-energy development;

market competition;

vulnerable consumers;

distributed generators; and

energy security.

For example, if a regulator incorrectly assumes that electricity demand will remain stable, it may underestimate the need for network investment created by EVs, heat pumps and electrification.

Therefore, regulatory decisions should be based on reliable evidence rather than assumptions alone.

4. Administrative Law Controls

UK administrative law provides important safeguards against unfair or poorly reasoned decisions.

Regulators should generally:

act within their legal powers;

consider relevant factors;

avoid irrelevant considerations;

follow required procedures;

provide adequate reasoning where required; and

act fairly.

Judicial review allows courts to examine whether a public authority has acted lawfully.

This does not mean that courts normally replace the regulator's technical judgment with their own. Instead, courts examine whether the decision was made within the limits of lawful decision-making.

5. Case Law: Peak Gen Top Co Ltd v GEMA [2018] EWHC 1583 (Admin)

This is particularly relevant to electricity regulation.

The case involved electricity generators challenging an Ofgem decision concerning electricity transmission charging arrangements for embedded generators. One ground alleged that Ofgem had failed to take account of material considerations or facts. (Bailii)

Relevance

The case demonstrates why regulators must properly consider material evidence and relevant facts.

If important evidence is ignored, a regulatory decision may become vulnerable to judicial review.

This is directly connected with decision bias because selective consideration of evidence can produce an unbalanced regulatory outcome.

6. Case Law: British Gas Trading Ltd v GEMA [2019] EWHC 3048 (Admin)

This case concerned Ofgem's implementation of the default tariff cap under the Domestic Gas and Electricity Tariff Cap Act 2018. The case involved a challenge to aspects of Ofgem's approach to calculating the cap. (vLex)

Relevance

The case shows the importance of regulators correctly interpreting their statutory duties and considering the relevant economic evidence when designing consumer-protection measures.

It also illustrates that regulatory methodology can be challenged where parties argue that the regulator has approached its statutory task incorrectly.

7. Case Law: British Gas Trading Ltd v Secretary of State [2025] EWCA Civ 209

This case concerned challenges by British Gas and E.ON to government decisions concerning the transfer of Bulb Energy's business to Octopus. The Court of Appeal considered issues surrounding the government's decision-making process and judicial review. (Courts and Tribunals Judiciary)

Relevance

The case demonstrates the importance of lawful, rational and properly structured decision-making in major energy-market interventions.

Large regulatory decisions can affect competitors, consumers and public finances, so decision-makers must operate within their statutory powers.

8. How Bias Can Be Reduced

Several mechanisms can reduce decision bias.

A. Evidence-Based Regulation

Regulators should use reliable economic, technical and environmental evidence.

B. Public Consultation

Consultation allows affected stakeholders to provide information that regulators may otherwise miss.

C. Impact Assessments

Regulators can examine the likely effects of proposed rules on consumers, businesses and the electricity system.

D. Independent Review

Courts, appeal bodies and competition authorities can review regulatory decisions.

E. Transparency

Publishing reasons and relevant evidence makes decision-making easier to examine.

F. Periodic Review

Rules should be reviewed when technology or market conditions change.

9. Importance for the Energy Transition

Decision bias becomes especially important during the transition from a centralised fossil-fuel-based system towards a system containing:

renewable generation;

batteries;

smart grids;

electric vehicles;

demand response;

distributed generation; and

energy communities.

Regulators must avoid assuming that old regulatory models will always work for new technologies.

At the same time, innovation should not automatically be treated as beneficial. Both advantages and risks should be examined using evidence.

10. Conclusion

Decision biases in electricity governance concern the risk that regulatory and governmental decisions may be influenced by assumptions, incomplete information, institutional preferences or traditional approaches.

The legal system addresses these risks through administrative law, consultation, evidence-based regulation, impact assessment, transparency and judicial review.

The cases of Peak Gen, British Gas v GEMA and British Gas/E.ON v Secretary of State demonstrate how electricity decisions can be challenged where parties raise concerns about the legality, reasoning or consideration of relevant matters. (Bailii)

In simple words:

“Good electricity governance requires decision-makers to consider the right evidence, listen to affected parties, avoid irrelevant assumptions and give proper reasons for important decisions.”

This is particularly important as electricity regulation becomes more complex through decentralisation, renewable energy, digitalisation and new consumer technologies.